Rocks dredged from water depths of 1,605, 2,500, 3,300, and 3,400 m in the Arctic Ocean included Paleozoic continental rocks pervasively mineralized during the Neogene by hydrothermal Fe and Mn oxides. Samples were recovered in three dredge hauls from the Chukchi Borderland and one from Mendeleev Ridge north of Alaska and eastern Siberia, respectively. Many of the rocks were so pervasively altered that the protolith could not be identified, while others had volcanic, plutonic, and metamorphic protoliths. The mineralized rocks were cemented and partly to wholly replaced by the hydrothermal oxides. The Amerasia Basin, where the Chukchi Borderland and Mendeleev Ridge occur, supports a series of faults and fractures that serve as major zones of crustal weakness. We propose that the stratabound hydrothermal deposits formed through the flux of hydrothermal fluids along Paleozoic and Mesozoic faults related to block faulting along a rifted margin during minor episodes of Neogene tectonism and were later exposed at the seafloor through slumping or other gravity processes. Tectonically driven hydrothermal circulation most likely facilitated the pervasive mineralization along fault surfaces via frictional heating, hydrofracturing brecciation, and low- to moderate temperature Fe- and Mn-rich hydrothermal fluids, which mineralized the crushed, altered, and brecciated rocks.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC010996","usgsCitation":"Hein, J.R., Mizell, K., and Gartman, A., 2024, Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean: Geochemistry, Geophysics, Geosystems, v. 25, no. 11, e2023GC010996, 27 p., https://doi.org/10.1029/2023GC010996.","productDescription":"e2023GC010996, 27 p.","ipdsId":"IP-167891","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc010996","text":"Publisher Index Page"},{"id":463785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amerasia basin, Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150,\n 72\n ],\n [\n -179.9,\n 74.5\n ],\n [\n -179.9,\n 85\n ],\n [\n -137.09374278427933,\n 80.73796302105899\n ],\n [\n -115,\n 73\n ],\n [\n -150,\n 72\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 85\n ],\n [\n 165,\n 85\n ],\n [\n 172,\n 74.5\n ],\n [\n 179.9,\n 74.5\n ],\n [\n 179.9,\n 85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263425,"text":"70263425 - 2024 - Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","interactions":[],"lastModifiedDate":"2025-02-11T15:30:07.537954","indexId":"70263425","displayToPublicDate":"2024-11-06T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","docAbstract":"Inland fisheries often receive little to no attention in global discussions about sustainable development. The consequences of overlooking inland fisheries in sustainability dialogues are increasingly problematic as fisheries stressors (e.g., overharvest, species invasion, climate change, habitat modification) intensify. Elevating the global profile of inland fisheries requires an approach for quantifying and clearly conveying the ecological, economic, and societal values of these systems. One such approach involves the Blue Economy, a multifaceted concept initially used to describe the intersection of marine conservation and sustainable use of marine resources for economic growth. Although conceptually powerful, the Blue Economy has rarely been applied to inland waters and fisheries. To address this knowledge gap, we conceptualized Laurentian Great Lakes fisheries from a Blue Economy perspective. In particular, we evaluated the utility of the coupled human and natural systems (CHANS) framework for characterizing the ecological, economic, and societal values of Laurentian Great Lakes fisheries and associated contributions to the Blue Economy (e.g., human livelihoods, food security, recreation, conservation, economic prosperity). There are numerous opportunities to leverage CHANS methods (e.g., metacoupling, telecoupling) and associated mathematical models to advance fisheries science, inform fisheries management, and ultimately move toward a Blue Economy in the Laurentian Great Lakes. To that end, we demonstrated applications of CHANS methods, discussed strategies for communicating with stakeholders, and provided insights for navigating challenges to developing a Blue Economy in the Laurentian Great Lakes—a model that could be used in the African Great Lakes and other large ecosystems in the world.","language":"English","publisher":"BioOne","doi":"10.14321/aehm.027.02.74","usgsCitation":"Carlson, A.K., Leonard, N., Munawar, M., and Taylor, W., 2024, Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems: Aquatic Ecosystem Health & Management, v. 27, no. 2, p. 74-84, https://doi.org/10.14321/aehm.027.02.74.","productDescription":"11 p.","startPage":"74","endPage":"84","ipdsId":"IP-154893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.35414421298296,\n 47.69798628255907\n ],\n [\n -92.55498641328694,\n 46.29425302711437\n ],\n [\n -86.95944652656331,\n 46.00505185703939\n ],\n [\n -88.62282303782777,\n 43.92021164632037\n ],\n [\n -87.50058525109819,\n 41.25347232284972\n ],\n [\n -85.72809349640711,\n 42.11694323111757\n ],\n [\n -85.91733849617773,\n 43.493974004776575\n ],\n [\n -84.89672932891068,\n 44.873597615031386\n ],\n [\n -83.29102906108528,\n 43.6549891230233\n ],\n [\n -83.78159647699495,\n 41.31847374004327\n ],\n [\n -79.95408136104199,\n 41.39215071916226\n ],\n [\n -75.87519895574565,\n 43.702579861752696\n ],\n [\n -79.58470723400637,\n 45.3214766230865\n ],\n [\n -84.23758896005683,\n 48.14783853442674\n ],\n [\n -88.84558873081599,\n 49.05585075889549\n ],\n [\n -91.35414421298296,\n 47.69798628255907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":926955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Nancy J.","contributorId":350769,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":926956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":350772,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":926958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261558,"text":"70261558 - 2024 - Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","interactions":[],"lastModifiedDate":"2024-12-16T14:12:30.156142","indexId":"70261558","displayToPublicDate":"2024-11-06T06:57:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","title":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","docAbstract":"Whole rock compositions at Buldir Volcano, western Aleutian arc, record a strong, continuous trend of iron depletion with decreasing MgO, classically interpreted as a calc-alkaline liquid line of descent. In contrast, olivine-hosted melt inclusions have higher total iron (FeO*) than whole rocks and show little change in FeO* with decreasing MgO. To investigate this discrepancy and determine the conditions required for strong iron depletion, we conducted oxygen fugacity (ƒO2) buffered, water-saturated crystallization experiments at 800 MPa and ƒO2 = QFM + 1.6 ± 0.4 (1σ) (where QFM refers to the quartz-fayalite-magnetite buffer) on a high-Al, basaltic starting material modeled after a Buldir lava. Experimental conditions were informed by olivine-hosted melt inclusions that record minimum entrapment pressures as high as 570 MPa, >6 wt % H2O, and ƒO2 of QFM + 1.4 (±0.2), making Buldir one of the most oxidized and wettest arc volcanoes documented globally. The experiments produce melts with Si-enrichment and Fe-depletion signatures characteristic of evolved, calc-alkaline magmas at the lowest MgO, although FeO* remains roughly constant over most of the experimental temperature range. Experiments saturate CrAl-spinel and olivine at 1160°C, followed by clinopyroxene and Al-spinel at 1085°C, hornblende at 1060°C, and, finally, plagioclase and magnetite between 1040°C and 960°C. Hornblende crystallization, not magnetite, generates the largest increase in SiO2 and largest decrease in FeO* in coexisting melts. Compositions of melt inclusions are consistent with experimental melts and reflect crystallization of a basaltic parent magma at high PH2O. In contrast, the whole rock compositional trends are influenced by magma mixing and phenocryst redistribution and accumulation. The crystallization experiments and natural liquids (melt inclusions and groundmass glass) from Buldir suggest that for an oxidized, hydrous primary basalt starting composition, significant Fe depletion from the melt will not occur until intermediate to late stages of magma crystallization (< ~4.5 wt % MgO). We conclude that the Buldir whole rock trend cannot be reproduced by crystallization at arc-relevant oxygen fugacities and is not a true liquid line of descent, warranting caution when interpreting volcanic trends globally.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae117","usgsCitation":"Andrys, J.L., Cottrell, E., Kelley, K., Waters, L.E., and Coombs, M.L., 2024, Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions: Journal of Petrology, v. 65, no. 12, egae117, 23 p., https://doi.org/10.1093/petrology/egae117.","productDescription":"egae117, 23 p.","ipdsId":"IP-166029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrys, Janine L.","contributorId":347200,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine","email":"","middleInitial":"L.","affiliations":[{"id":52668,"text":"Boise State","active":true,"usgs":false}],"preferred":false,"id":921044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cottrell, Elizabeth","contributorId":347203,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":921045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Katherine A.","contributorId":347206,"corporation":false,"usgs":false,"family":"Kelley","given":"Katherine A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":921046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters, Laura E.","contributorId":347209,"corporation":false,"usgs":false,"family":"Waters","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":921047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921048,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261465,"text":"70261465 - 2024 - Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","interactions":[],"lastModifiedDate":"2024-12-11T17:14:01.825087","indexId":"70261465","displayToPublicDate":"2024-11-05T10:08:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","docAbstract":"No abstract available.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13447","usgsCitation":"Ford, C.M., Ha, W.S., Markovich, K.H., and Zwinger, J., 2024, Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++: Groundwater, v. 62, no. 6, p. 825-829, https://doi.org/10.1111/gwat.13447.","productDescription":"5 p.","startPage":"825","endPage":"829","ipdsId":"IP-159081","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13447","text":"Publisher Index Page"},{"id":465026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, Chanse Michael 0000-0002-7159-5051","orcid":"https://orcid.org/0000-0002-7159-5051","contributorId":347040,"corporation":false,"usgs":true,"family":"Ford","given":"Chanse","email":"","middleInitial":"Michael","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ha, Wonsook S. 0000-0002-7252-698X","orcid":"https://orcid.org/0000-0002-7252-698X","contributorId":266139,"corporation":false,"usgs":true,"family":"Ha","given":"Wonsook","email":"","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markovich, Katherine H. 0000-0002-4455-8255","orcid":"https://orcid.org/0000-0002-4455-8255","contributorId":221065,"corporation":false,"usgs":false,"family":"Markovich","given":"Katherine","middleInitial":"H.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":920650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwinger, Johanna 0009-0000-7867-2825","orcid":"https://orcid.org/0009-0000-7867-2825","contributorId":347041,"corporation":false,"usgs":false,"family":"Zwinger","given":"Johanna","email":"","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":920651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260627,"text":"70260627 - 2024 - Trends and environmental impacts of virtual water trade","interactions":[],"lastModifiedDate":"2024-12-10T15:33:04.350122","indexId":"70260627","displayToPublicDate":"2024-11-05T09:58:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends and environmental impacts of virtual water trade","docAbstract":"Virtual water describes water embedded in the production of goods and offers meaningful insights about the complex interplay between water, trade and sustainability. In this Review, we examine the trends, major players, traded products and key drivers of virtual water trade (VWT). Roughly 20% of water used in global food production is traded virtually rather than domestically consumed. As such, agriculture dominates VWT, with livestock products, wheat, maize, soybean, oil palm, coffee and cocoa contributing over 70% of total VWT. These products are also driving VWT growth, the volume of which has increased 2.9 times from 1986 to 2022. However, the countries leading VWT contributions (with China, the United States, the Netherlands, Germany and India accounting for 34% of the global VWT in 2022) have remained relatively stable over time, albeit with China becoming an increasingly important importer. VWT can mitigate the effects of water scarcity and food insecurity, although there are concerns about the disconnect between consumers and the environmental impacts of their choices, and unsustainable resource exploitation. Indeed, approximately 16% of unsustainable water use and 11% of global groundwater depletion are virtually traded. Future VWT analyses must consider factors such as water renewability, water quality, climate change impacts and socioeconomic implications.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00605-2","usgsCitation":"Mekonnen, M.M., Kebede, M.M., Demeke, B.W., Carr, J., Chapagain, A., Dalin, C., Debaere, P., D’Odorico, P., Marston, L., Ray, C., Rosa, L., and Zhuo, L., 2024, Trends and environmental impacts of virtual water trade: Nature Reviews Earth & Environment, v. 5, p. 890-905, https://doi.org/10.1038/s43017-024-00605-2.","productDescription":"16 p.","startPage":"890","endPage":"905","ipdsId":"IP-160482","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496765,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-05368702","text":"External Repository"},{"id":463764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mekonnen, Mesfin M.","contributorId":346068,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Mesfin","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kebede, Mahlet M.","contributorId":346069,"corporation":false,"usgs":false,"family":"Kebede","given":"Mahlet","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demeke, Betelhem W.","contributorId":346070,"corporation":false,"usgs":false,"family":"Demeke","given":"Betelhem","email":"","middleInitial":"W.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":917932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapagain, Ashok","contributorId":346073,"corporation":false,"usgs":false,"family":"Chapagain","given":"Ashok","email":"","affiliations":[{"id":28034,"text":"Pacific Institute","active":true,"usgs":false}],"preferred":false,"id":917933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalin, Carole","contributorId":215134,"corporation":false,"usgs":false,"family":"Dalin","given":"Carole","email":"","affiliations":[{"id":39184,"text":"Institute for Sustainable Resources, University College, London, UK","active":true,"usgs":false}],"preferred":false,"id":917934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Debaere, Peter","contributorId":346078,"corporation":false,"usgs":false,"family":"Debaere","given":"Peter","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":917935,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D’Odorico, Paolo","contributorId":209957,"corporation":false,"usgs":false,"family":"D’Odorico","given":"Paolo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marston, Landon 0000-0001-9116-1691","orcid":"https://orcid.org/0000-0001-9116-1691","contributorId":239626,"corporation":false,"usgs":false,"family":"Marston","given":"Landon","email":"","affiliations":[{"id":47941,"text":"Department of Civil Engineering, Kansas State University","active":true,"usgs":false}],"preferred":false,"id":917937,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ray, Chittaranjan","contributorId":194209,"corporation":false,"usgs":false,"family":"Ray","given":"Chittaranjan","email":"","affiliations":[],"preferred":false,"id":917938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917939,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuo, La","contributorId":346083,"corporation":false,"usgs":false,"family":"Zhuo","given":"La","email":"","affiliations":[{"id":82762,"text":"Northwest A&F University, Yangling; Chinese Academy of Sciences & Ministry of Water Resources","active":true,"usgs":false}],"preferred":false,"id":917940,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70268340,"text":"70268340 - 2024 - River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","interactions":[],"lastModifiedDate":"2025-06-23T14:40:02.847232","indexId":"70268340","displayToPublicDate":"2024-11-05T09:37:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","docAbstract":"Measuring suspended-sand fluxes in rivers remains a scientific challenge due to their high spatial and temporal variability. To capture the vertical and lateral gradients of concentration in the cross-section, measurements with point samples are performed. However, the uncertainty related to these measurements is rarely evaluated, as few studies of the major sources of error exist. Therefore, the aim of this study is to develop a method to determine the cross-sectional sand flux and estimate its uncertainty. This SDC (for sand discharge computing) method combines suspended-sand concentrations from point samples with ADCP (acoustic Doppler current profiler) high-resolution depth and velocity measurements. The MAP (for multitransect averaged profile) method allows obtaining an average of several ADCP transects on a regular grid, including the unmeasured areas. The suspended-sand concentrations are integrated vertically by fitting a theoretical exponential suspended-sand profile to the data using Bayesian modeling. The lateral integration is based on the water depth as a proxy for the local bed shear stress to evaluate the bed concentration and sediment diffusion along the river cross-section. The estimation of uncertainty combines ISO standards and semi-empirical methods with a Bayesian approach to estimate the uncertainty due to the vertical integration. The new method is applied to data collected in four rivers under various hydro-sedimentary conditions: the Colorado, Rhône, Isère, and Amazon rivers, with computed flux uncertainties ranging between 18 % and 32 %. The relative difference between the suspended-sand flux in 21 cases calculated with the proposed SDC method compared to the International Organization for Standardization (ISO) 4363 standard method ranges between −40 % and +23 %. This method that comes with a flexible, open-source code is the first to propose an applicable uncertainty estimation that could be adapted to other flux computation methods.
","language":"English","publisher":"European Geophysical Union","doi":"10.5194/esurf-12-1243-2024","usgsCitation":"Marggraf, J., Dramais, G., Le Coz, J., Calmel, B., Camenen, B., Topping, D.J., Santini, W., Pierrefeu, G., and Lauters, F., 2024, River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements: Earth Surface Dynamics, v. 12, no. 6, p. 1243-1266, https://doi.org/10.5194/esurf-12-1243-2024.","productDescription":"24 p.","startPage":"1243","endPage":"1266","ipdsId":"IP-123898","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-12-1243-2024","text":"Publisher Index Page"},{"id":491101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Marggraf, Jessica","contributorId":350702,"corporation":false,"usgs":false,"family":"Marggraf","given":"Jessica","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dramais, Guillaume","contributorId":357236,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Coz, Jerome","contributorId":350703,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calmel, Blaise","contributorId":357237,"corporation":false,"usgs":false,"family":"Calmel","given":"Blaise","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camenen, Benoit","contributorId":238956,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoit","email":"","affiliations":[{"id":47840,"text":"Scientist, IRSTEA, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santini, William","contributorId":357238,"corporation":false,"usgs":false,"family":"Santini","given":"William","affiliations":[{"id":85355,"text":"IRD-GET, Institut de Recherche pour le Développement, Laboratoire GET (IRD, CNRS, UPS, CNES), Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lauters, François","contributorId":357239,"corporation":false,"usgs":false,"family":"Lauters","given":"François","affiliations":[{"id":85356,"text":"Service Etudes Eau Environnement, EDF, 134 Chemin de l'étang, Saint Martin Le Vinoux, 38950, France","active":true,"usgs":false}],"preferred":false,"id":940863,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260840,"text":"70260840 - 2024 - Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","interactions":[],"lastModifiedDate":"2024-11-12T15:30:01.02245","indexId":"70260840","displayToPublicDate":"2024-11-05T09:24:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","docAbstract":"The Upper Floridan aquifer is the uppermost reliable groundwater source in southwest Georgia. The aquifer lies on top of the Claiborne, Clayton, and Cretaceous aquifers, all of which exhibited water-level declines in the 1960s and 1970s. The U.S. Geological Survey has been working cooperatively with Albany Utilities to monitor groundwater quality and availability in these aquifers since 1977.
Flow direction in the Upper Floridan aquifer is to the south and toward the Flint River. During the past 3 years, water levels varied above and below period-of-record median values. Water levels in the Upper Floridan aquifer were primarily above or at median levels during 2020 and 2021 and at or below median levels during 2022. Water levels in the Claiborne aquifer were above median levels, whereas water levels in the Clayton aquifer were at or below median levels, and in the Cretaceous aquifer system were close to median levels.
During January 2021, eight wells were sampled for major ions, including nitrate plus nitrite as nitrogen (N). Nitrate plus nitrite as N concentrations ranged from 2.3 to 10.5 milligrams per liter (mg/L). During December 2021, seven wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 9.9 mg/L. During November 2022, eight wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 10.0 mg/L. Two wells were also sampled for per- and polyfluoroalkyl substances during November 2022.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241060","issn":"2331-1258","collaboration":"Prepared in cooperation with Albany Utilities","usgsCitation":"Gordon, D.W., 2024, Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023: U.S. Geological Survey Open-File Report 2024–1060, 14 p., https://doi.org/10.3133/ofr20241060.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-148818","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":497924,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117773.htm","linkFileType":{"id":5,"text":"html"}},{"id":463594,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS Water Data for the Nation","linkHelpText":"- USGS NWIS database"},{"id":463593,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241060/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1060 HTML"},{"id":463592,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1060/ofr20241060.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1060 XML"},{"id":463591,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1060/ofr20241060.pdf","size":"5.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1060"},{"id":463590,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1060/images"},{"id":463589,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1060/coverthb.jpg"}],"country":"United States","state":"Georgia","county":"Dougherty County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-84.0186,31.6501],[-83.9997,31.6498],[-83.9933,31.6499],[-83.9937,31.6417],[-84.0002,31.6416],[-84.0028,31.6416],[-84.0028,31.6338],[-84.0124,31.6333],[-84.0123,31.6242],[-83.9957,31.6252],[-83.995,31.6156],[-83.995,31.6138],[-83.9959,31.6042],[-83.9964,31.5988],[-83.9964,31.5933],[-83.9965,31.5636],[-83.982,31.5633],[-83.9819,31.5519],[-83.9969,31.5517],[-83.9966,31.5307],[-83.9969,31.5107],[-83.9973,31.5002],[-83.9976,31.476],[-83.9826,31.4757],[-83.9824,31.4629],[-83.9974,31.4632],[-83.9977,31.444],[-83.9999,31.444],[-84.0192,31.4434],[-84.0358,31.4432],[-84.0648,31.4434],[-84.0975,31.4426],[-84.0991,31.4426],[-84.1227,31.4424],[-84.1377,31.4427],[-84.1388,31.4418],[-84.1409,31.4404],[-84.1506,31.4403],[-84.1565,31.4402],[-84.1581,31.4402],[-84.1742,31.4405],[-84.1989,31.4402],[-84.2112,31.4405],[-84.2117,31.4373],[-84.2117,31.436],[-84.239,31.4357],[-84.2498,31.436],[-84.2583,31.4359],[-84.2846,31.4361],[-84.3007,31.4363],[-84.3131,31.4362],[-84.3388,31.4363],[-84.3694,31.4364],[-84.4021,31.4365],[-84.4091,31.4364],[-84.43,31.4366],[-84.43,31.4375],[-84.429,31.4384],[-84.4284,31.4389],[-84.4279,31.4393],[-84.4285,31.4398],[-84.4285,31.4407],[-84.4285,31.4416],[-84.428,31.4421],[-84.4274,31.4426],[-84.4275,31.4435],[-84.4269,31.4439],[-84.4264,31.4444],[-84.4264,31.4453],[-84.4264,31.4462],[-84.4259,31.4462],[-84.4259,31.4471],[-84.4259,31.448],[-84.4254,31.448],[-84.4249,31.4485],[-84.4238,31.449],[-84.4233,31.4485],[-84.4227,31.4485],[-84.4222,31.4486],[-84.4216,31.449],[-84.4211,31.449],[-84.4206,31.4495],[-84.4201,31.4495],[-84.4195,31.4509],[-84.4196,31.4518],[-84.419,31.4522],[-84.4185,31.4532],[-84.4175,31.455],[-84.4169,31.4555],[-84.4159,31.4555],[-84.4143,31.4564],[-84.4137,31.4564],[-84.4127,31.4569],[-84.4127,31.4578],[-84.4127,31.4587],[-84.4132,31.4596],[-84.4138,31.4605],[-84.4138,31.4624],[-84.4138,31.4633],[-84.4144,31.4642],[-84.415,31.4651],[-84.4155,31.4651],[-84.4155,31.466],[-84.4161,31.4669],[-84.4166,31.4673],[-84.4172,31.4678],[-84.4177,31.4687],[-84.4177,31.4696],[-84.4183,31.4696],[-84.4183,31.4705],[-84.4183,31.4714],[-84.4188,31.4714],[-84.4188,31.4723],[-84.4194,31.4723],[-84.4205,31.4728],[-84.421,31.4732],[-84.4215,31.4732],[-84.4221,31.4737],[-84.4232,31.4736],[-84.4237,31.4736],[-84.4242,31.4745],[-84.4248,31.475],[-84.4248,31.4764],[-84.4254,31.4773],[-84.4254,31.4782],[-84.4259,31.4791],[-84.4265,31.4804],[-84.426,31.4818],[-84.4255,31.4818],[-84.4255,31.4827],[-84.4249,31.4828],[-84.4249,31.4837],[-84.4244,31.4846],[-84.4239,31.4851],[-84.4234,31.4851],[-84.4228,31.4864],[-84.4229,31.4892],[-84.4218,31.4901],[-84.4219,31.491],[-84.4224,31.4915],[-84.4224,31.4924],[-84.423,31.4928],[-84.4235,31.4933],[-84.4241,31.4942],[-84.4251,31.4946],[-84.4257,31.4951],[-84.4257,31.496],[-84.4257,31.4969],[-84.4257,31.4978],[-84.4263,31.4978],[-84.4268,31.4987],[-84.4274,31.4987],[-84.4279,31.4991],[-84.4284,31.4991],[-84.429,31.4996],[-84.4295,31.5005],[-84.429,31.5023],[-84.4307,31.5055],[-84.4318,31.5064],[-84.4323,31.5073],[-84.4329,31.5077],[-84.4334,31.5082],[-84.434,31.5087],[-84.4345,31.5091],[-84.4351,31.5091],[-84.4372,31.5086],[-84.4378,31.5095],[-84.4383,31.5104],[-84.4389,31.5122],[-84.4389,31.515],[-84.4389,31.5159],[-84.439,31.5168],[-84.439,31.5186],[-84.4395,31.5191],[-84.4401,31.5195],[-84.4396,31.5204],[-84.4396,31.5218],[-84.4396,31.5227],[-84.4401,31.5236],[-84.4402,31.5245],[-84.4412,31.5254],[-84.4418,31.5264],[-84.4418,31.5273],[-84.4418,31.5282],[-84.4424,31.5286],[-84.4429,31.5295],[-84.4435,31.53],[-84.4435,31.5309],[-84.444,31.5309],[-84.4446,31.5322],[-84.4446,31.5332],[-84.4446,31.5345],[-84.4447,31.5354],[-84.4452,31.5363],[-84.4458,31.5373],[-84.4463,31.5377],[-84.4463,31.5386],[-84.4469,31.5391],[-84.4474,31.5395],[-84.4474,31.5404],[-84.448,31.5413],[-84.4471,31.5425],[-84.4475,31.5432],[-84.4475,31.5441],[-84.4481,31.545],[-84.4486,31.5454],[-84.4502,31.5459],[-84.4508,31.5463],[-84.4519,31.5468],[-84.4524,31.5472],[-84.4529,31.5472],[-84.4535,31.5477],[-84.454,31.5476],[-84.4546,31.5481],[-84.4551,31.549],[-84.4551,31.5499],[-84.4552,31.5517],[-84.4552,31.5545],[-84.4552,31.5558],[-84.4552,31.5568],[-84.4547,31.5577],[-84.4542,31.5577],[-84.4542,31.5586],[-84.4548,31.5604],[-84.4543,31.5618],[-84.4543,31.5627],[-84.4543,31.5636],[-84.4538,31.565],[-84.4533,31.5655],[-84.4527,31.5659],[-84.4528,31.5668],[-84.4522,31.5687],[-84.4523,31.5696],[-84.4518,31.5723],[-84.4518,31.5737],[-84.4523,31.5746],[-84.4529,31.575],[-84.4535,31.5764],[-84.454,31.5769],[-84.454,31.5778],[-84.4546,31.5787],[-84.4541,31.5796],[-84.4546,31.5809],[-84.4552,31.5819],[-84.4557,31.5823],[-84.4563,31.5828],[-84.4568,31.5832],[-84.4573,31.5832],[-84.4574,31.5846],[-84.4569,31.5864],[-84.4558,31.5878],[-84.4553,31.5882],[-84.4553,31.5891],[-84.4548,31.5896],[-84.4542,31.5901],[-84.4537,31.5905],[-84.4543,31.5914],[-84.4538,31.5924],[-84.4532,31.5933],[-84.4522,31.5942],[-84.4506,31.5956],[-84.4501,31.5961],[-84.4495,31.5974],[-84.449,31.5984],[-84.4496,31.5993],[-84.4501,31.5997],[-84.4501,31.6011],[-84.4496,31.6016],[-84.4496,31.6025],[-84.4491,31.6025],[-84.4486,31.6029],[-84.448,31.6034],[-84.4475,31.6039],[-84.447,31.6048],[-84.447,31.6057],[-84.4476,31.6075],[-84.4476,31.6084],[-84.4493,31.6116],[-84.4488,31.613],[-84.4493,31.6134],[-84.4493,31.6143],[-84.4504,31.6143],[-84.4504,31.6152],[-84.4499,31.6166],[-84.4499,31.6175],[-84.4494,31.618],[-84.4494,31.6189],[-84.4499,31.6193],[-84.4505,31.6212],[-84.4505,31.6221],[-84.4328,31.6218],[-84.4016,31.6218],[-84.3887,31.6215],[-84.3699,31.6213],[-84.3435,31.6211],[-84.3182,31.6214],[-84.3005,31.6216],[-84.2978,31.6217],[-84.2892,31.6218],[-84.2553,31.6221],[-84.2499,31.6222],[-84.2317,31.6224],[-84.2048,31.6222],[-84.1994,31.6223],[-84.1924,31.6224],[-84.1801,31.6225],[-84.1575,31.6228],[-84.144,31.6229],[-84.1328,31.623],[-84.1306,31.623],[-84.108,31.6232],[-84.0983,31.6233],[-84.0822,31.623],[-84.0532,31.6233],[-84.043,31.6234],[-84.0424,31.6248],[-84.0425,31.6275],[-84.0414,31.6298],[-84.0409,31.6312],[-84.0409,31.6326],[-84.0409,31.6335],[-84.0394,31.6353],[-84.0367,31.6367],[-84.0362,31.6376],[-84.0351,31.6385],[-84.0351,31.6404],[-84.0351,31.6413],[-84.0341,31.6431],[-84.0335,31.6436],[-84.033,31.6436],[-84.0309,31.6431],[-84.0303,31.6427],[-84.0298,31.6436],[-84.0293,31.6445],[-84.0293,31.6455],[-84.0298,31.6468],[-84.0293,31.6477],[-84.0288,31.6486],[-84.0282,31.6487],[-84.0266,31.6491],[-84.025,31.6491],[-84.0229,31.6496],[-84.0218,31.6501],[-84.0213,31.6501],[-84.0196,31.6496],[-84.0186,31.6501]]]},\"properties\":{\"name\":\"Dougherty\",\"state\":\"GA\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
1770 Corporate Drive, suite 500
Norcross, GA 30093
Contact Us- USGS Publications Warehouse
","tableOfContents":"VegDischarge v1 is a comprehensive river discharge across Africa (2000–2021), produced by coupling the agro-hydrologic VegET model and the mizuRoute routing framework. Using remote sensing data and hydrological modeling, the 1-km runoff field simulated by VegET, and routed with mizuRoute, covers over 64,000 river segments in Africa. The VegET model simulates runoff based on vegetation and soil moisture dynamics, while mizuRoute processes this runoff through a detailed river network. Performance metrics show strong model reliability, with R² ranging from 0.5 to 0.9, NSE between 0.6 and 0.9, and KGE from 0.5 to 0.8. The total annual average discharge for Africa is quantified at 3238.1 km³.year-1, with contributions to various oceanic basins: 989.9 km³.year-1 to the North Atlantic, primarily from West African rivers like the Senegal, Gambia, Volta, and Niger; 1313.7 km³.year-1 to the South Atlantic, largely from the Congo River; 212.5 km³.year-1 to the Mediterranean Sea, predominantly from the Nile River; and 722.0 km³.year-1 to the Indian Ocean, with substantial inputs from rivers such as the Zambezi. This VegDischarge v1 is valuable for policymakers, stakeholders, and researchers to better understand water availability, its temporal and spatial variations, that impact water-related infrastructure planning, sustainable resource allocation, and the development of climate resilience mitigation strategies.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-024-04034-0","usgsCitation":"Akpoti, K., Velpuri, N., Mizukami, N., Kagone, S., Leh, M., Mekonnen, K., Owusu, A., Tinonetsana, P., Phiri, M., Madushanka, L., Perera, T., Prabhath, P.T., Parrish, G.E., Senay, G.B., and Seid, A., 2024, Advancing water security in Africa with new high-resolution discharge data: Scientific Data, v. 11, 1195, 23 p., https://doi.org/10.1038/s41597-024-04034-0.","productDescription":"1195, 23 p.","ipdsId":"IP-163078","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":466784,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-024-04034-0","text":"Publisher Index Page"},{"id":464460,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -32.50283421882472,\n 39.46326270619949\n ],\n [\n -32.50283421882472,\n -37.223842553161056\n ],\n [\n 46.90009232928932,\n -37.223842553161056\n ],\n [\n 46.90009232928932,\n 39.46326270619949\n ],\n [\n -32.50283421882472,\n 39.46326270619949\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Akpoti, Komlavi","contributorId":333421,"corporation":false,"usgs":false,"family":"Akpoti","given":"Komlavi","email":"","affiliations":[{"id":79870,"text":"International Water Management Institute, Ghana","active":true,"usgs":false}],"preferred":false,"id":919326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":222983,"corporation":false,"usgs":false,"family":"Velpuri","given":"Naga Manohar","affiliations":[{"id":40633,"text":"CIGAR","active":true,"usgs":false}],"preferred":false,"id":919327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizukami, Naoki","contributorId":178120,"corporation":false,"usgs":false,"family":"Mizukami","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":919328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":210980,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":919329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leh, Mansoor","contributorId":330583,"corporation":false,"usgs":false,"family":"Leh","given":"Mansoor","email":"","affiliations":[{"id":61564,"text":"International Water Management Institute, Colombo, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":919330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mekonnen, Kirubel","contributorId":333422,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Kirubel","email":"","affiliations":[{"id":79873,"text":"International Water Management Institute, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":919331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Owusu, Afua","contributorId":330582,"corporation":false,"usgs":false,"family":"Owusu","given":"Afua","email":"","affiliations":[{"id":78937,"text":"International Water Management Institute, Accra, Ghana","active":true,"usgs":false}],"preferred":false,"id":919332,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tinonetsana, Primrose","contributorId":333423,"corporation":false,"usgs":false,"family":"Tinonetsana","given":"Primrose","email":"","affiliations":[{"id":79871,"text":"International Water Management Institute, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":919333,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phiri, Michael","contributorId":335563,"corporation":false,"usgs":false,"family":"Phiri","given":"Michael","email":"","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":919334,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Madushanka, Lahiru","contributorId":335564,"corporation":false,"usgs":false,"family":"Madushanka","given":"Lahiru","email":"","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":919335,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Perera, Tharindu","contributorId":335565,"corporation":false,"usgs":false,"family":"Perera","given":"Tharindu","email":"","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":919336,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prabhath, Paranamana T.","contributorId":335566,"corporation":false,"usgs":false,"family":"Prabhath","given":"Paranamana","email":"","middleInitial":"T.","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":919337,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parrish, Gabriel Edwin Lee 0000-0003-4078-3516","orcid":"https://orcid.org/0000-0003-4078-3516","contributorId":267751,"corporation":false,"usgs":false,"family":"Parrish","given":"Gabriel","email":"","middleInitial":"Edwin Lee","affiliations":[{"id":55490,"text":"Innovate! Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":919338,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":919339,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Seid, Abdulkarim","contributorId":335567,"corporation":false,"usgs":false,"family":"Seid","given":"Abdulkarim","email":"","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":919340,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70260663,"text":"70260663 - 2024 - An evaluation of cyanobacterial occurrence and bloom development in Adirondack lakes","interactions":[],"lastModifiedDate":"2024-12-26T16:54:58.815536","indexId":"70260663","displayToPublicDate":"2024-11-05T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of cyanobacterial occurrence and bloom development in Adirondack lakes","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHABs) have occurred in many low nutrient (oligotrophic) lakes in the northeastern United States. The Adirondack Park in New York is a large, mountainous region with many low nutrient lakes. There is a gap in understanding regarding whether cyanoHAB reporting data are truly reflective of the susceptibility of lakes to develop bloom conditions. We evaluated lakes with and without documented cyanoHABs for cyanotoxin synthetase gene quantification, phytoplankton community composition, and akinete abundance to identify conditions associated with the observation of cyanoHABs. We analyzed: (1) contributions of cyanobacteria to the overall phytoplankton community; (2) differences in cyanobacterial communities and the presence of cyanotoxin synthetase genes; and (3) lake physical and geomorphological attributes as drivers of differences in cyanobacteria occurrence. Two sample types (water and sediment) were collected from two sample locations (nearshore and open water) in five lakes in 2021. We found cyanobacteria in all lakes and sample locations. Phytoplankton biovolume and cyanotoxin synthetase genes differed among lakes and by cyanoHAB history. Samples from lakes with documented blooms were associated with marginally higher total phosphorus. Non-metric multidimensional scaling was used to identify which environmental factors influenced community structure. Our study demonstrates the importance of multifaceted approaches to detect cyanobacteria that may only be apparent during ephemeral bloom events and the similarities among lakes with and without a history of bloom reports. This work contributes to a better understanding of cyanoHAB occurrence in Adirondack lakes, and conditions that may cause low nutrient lakes to be susceptible to cyanoHABs.","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10402381.2024.2406283","usgsCitation":"Gorney, R.M., Nystrom, E.A., Stouder, M.D., St. Amand, A.E., Suave, C., Clark, D., Stelzer, E., Givens, C.E., and Graham, J.L., 2024, An evaluation of cyanobacterial occurrence and bloom development in Adirondack lakes: Lake and Reservoir Management, v. 40, no. 4, p. 373-389, https://doi.org/10.1080/10402381.2024.2406283.","productDescription":"17 p.","startPage":"373","endPage":"389","ipdsId":"IP-157540","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466785,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2024.2406283","text":"Publisher Index Page"},{"id":463787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.85479279895394,\n 44.65472774562582\n ],\n [\n -74.85479279895394,\n 43.22532864552494\n ],\n [\n -73.52390044328924,\n 43.22532864552494\n ],\n [\n -73.52390044328924,\n 44.65472774562582\n ],\n [\n -74.85479279895394,\n 44.65472774562582\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorney, Rebecca Michelle 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","email":"","middleInitial":"Michelle","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stouder, Michael D.W. 0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Amand, Ann E.","contributorId":146962,"corporation":false,"usgs":false,"family":"St. Amand","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":16763,"text":"PhycoTech, Inc.","active":true,"usgs":false}],"preferred":false,"id":918129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suave, Cory","contributorId":346112,"corporation":false,"usgs":false,"family":"Suave","given":"Cory","email":"","affiliations":[{"id":82774,"text":"PhycoTech","active":true,"usgs":false}],"preferred":false,"id":918130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, Denise 0000-0002-9688-2946 drclark@usgs.gov","orcid":"https://orcid.org/0000-0002-9688-2946","contributorId":213957,"corporation":false,"usgs":true,"family":"Clark","given":"Denise","email":"drclark@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918133,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918134,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260934,"text":"70260934 - 2024 - Environmental Flows for Riverine EcoSystem Habitats (E-FRESH) decision support tool user guide","interactions":[],"lastModifiedDate":"2024-12-10T19:08:40.532179","indexId":"70260934","displayToPublicDate":"2024-11-04T13:50:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Environmental Flows for Riverine EcoSystem Habitats (E-FRESH) decision support tool user guide","docAbstract":"The E-FRESH decision support tool is intended to facilitate assessment and comparison of different flow management scenarios on available habitat for various aquatic, riparian, and invertebrate species of interest. This tool also allows users to conduct a variety of analyses ranging from large-scale data processing and export to detailed and complex flow scenario manipulation around water rights and alternative climate futures.
","language":"English","publisher":"One Water Solutions Institute","doi":"10.25675/10217/239641","usgsCitation":"Wible, T., Holmquist-Johnson, C., Klingel, H., Morrison, R.R., Merritt, D., and Korsa, M., 2024, Environmental Flows for Riverine EcoSystem Habitats (E-FRESH) decision support tool user guide, 74 p., https://doi.org/10.25675/10217/239641.","productDescription":"74 p.","ipdsId":"IP-169441","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":464207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wible, Tyler","contributorId":346297,"corporation":false,"usgs":false,"family":"Wible","given":"Tyler","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klingel, Heidi","contributorId":346298,"corporation":false,"usgs":false,"family":"Klingel","given":"Heidi","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":918612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":918614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korsa, Matthew","contributorId":346299,"corporation":false,"usgs":false,"family":"Korsa","given":"Matthew","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918615,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265940,"text":"70265940 - 2024 - Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic","interactions":[],"lastModifiedDate":"2025-04-22T17:18:09.018356","indexId":"70265940","displayToPublicDate":"2024-11-04T12:13:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic","docAbstract":"The U.S. South Atlantic coastal region is used by many marine birds for foraging, reproduction, and migration. We developed standardized indices of relative abundance from long–term (1980–2016), semi-structured monitoring data (eBird) for eight species: Brown Pelican (Pelecanus occidentalis), Double-Crested Cormorant (Nannopterum auritum), White Ibis (Eudocimus albus), Wood Stork (Mycteria americana), Piping Plover (Charadrius melodus), American Oystercatcher (Haematopus palliatus), Clapper Rail (Rallus crepitans), and Northern Gannet (Morus bassanus). Following a period of stable or declining abundance from the 1980s through the 1990s, most species have shown stable or slightly upward trends through the late 2000s; Brown Pelican and Piping Plover have shown some evidence of recent declines. Species–specific correlations between abundance indices developed from presence/absence data and those developed from count data were positive for all species and ranged from 0.53 to 0.86. Dynamic factor analysis identified common trends in abundance among several species, in particular, Brown Pelican, Double–Crested Cormorant, and White Ibis. Model performance was improved with inclusion of an indicator of sea level rise, but not forage fish abundance or temperature, indicating habitat availability mediated by changing water levels may explain some of the underlying abundance trends. Our results provide baseline information on long–term trends for several important coastal birds that can help inform research, monitoring and conservation efforts in the U.S. South Atlantic region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsma.2024.103886","usgsCitation":"Craig, J., Siegfried, K., Cheshire, R., Karnauskas, M., and Jodice, P.G., 2024, Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic: Regional Studies in Marine Science, v. 80, 103886, 14 p., https://doi.org/10.1016/j.rsma.2024.103886.","productDescription":"103886, 14 p.","ipdsId":"IP-159778","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsma.2024.103886","text":"Publisher Index Page"},{"id":484853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.63812689012559,\n 24.981195366830136\n ],\n [\n -79.74779294326453,\n 26.53588076270711\n ],\n [\n -81.03973835977342,\n 29.95801011198671\n ],\n [\n -81.11631302916135,\n 31.396072044056297\n ],\n [\n -79.30822669011008,\n 33.150807571917255\n ],\n [\n -76.01718491915142,\n 34.68241756177868\n ],\n [\n -75.87971328976948,\n 36.709011056016635\n ],\n [\n -78.23890913908112,\n 36.73325180728209\n ],\n [\n -80.34864182194866,\n 34.55119531258265\n ],\n [\n -83.32101866451728,\n 32.39789594150341\n ],\n [\n -81.81661133200153,\n 28.946064586607065\n ],\n [\n -80.63812689012559,\n 24.981195366830136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","noUsgsAuthors":false,"publicationDate":"2024-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Craig, J.K.","contributorId":353621,"corporation":false,"usgs":false,"family":"Craig","given":"J.K.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siegfried, K.I.","contributorId":353620,"corporation":false,"usgs":false,"family":"Siegfried","given":"K.I.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheshire, R.T.","contributorId":353622,"corporation":false,"usgs":false,"family":"Cheshire","given":"R.T.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karnauskas, M.","contributorId":353623,"corporation":false,"usgs":false,"family":"Karnauskas","given":"M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260490,"text":"70260490 - 2024 - The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes","interactions":[],"lastModifiedDate":"2024-11-05T16:47:15.828836","indexId":"70260490","displayToPublicDate":"2024-11-04T10:44:08","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":17129,"text":"STAC Workshop Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"24-006","title":"The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes","docAbstract":"The Chesapeake Bay Program’s (CBP) Science and Technical Advisory Committee (STAC) organized and led a workshop on the science and practice of stream restoration in order to summarize the state of knowledge in order to identify ways to improve stream restoration outcomes. The workshop identified a general framework for explaining the main factors leading to stream restoration outcomes: stream degradation has occurred, leading to regulatory and policy motivations that prioritize project goals, which leads to restoration approaches, assessment and monitoring efforts, and ultimately stream restoration outcomes. In the Chesapeake Bay watershed, stream restoration often occurs in response to Clean Water Act (CWA) mandates to reduce nitrogen, phosphorus, and sediment loads to the Bay. Reviews of stream restoration outcomes summarized at the workshop showed that, in general, stream restorations have led to minimal improvement to stream aquatic biota, effective ‘stabilization’ of channel form over time, moderate improvements to water quality, and short-term negative impacts to riparian vegetation. \n\n\nThe fundamental finding of the workshop was that often the primary goal of stream restoration projects is to improve geomorphic stability in the restored reach and downstream water quality, and not to improve local ecological conditions through ‘uplift’ (improvement of one or more ecosystem functions through a restorative activity; a term defined in Appendix D), and therefore these projects often do not improve aquatic macroinvertebrate or fish communities. This conflict in goals is a shortcoming of the currently most common regulatory driver for stream restoration (reducing downstream loads of N, P, and sediment) that could be addressed directly through diversifying goals to include biotic uplift, as biological benefit is an assumed condition for the permitting and crediting of stream restoration projects. It is also likely that current understanding of stressors and drivers of stream ecosystem health is insufficient, and that reach-scale restoration focused on geomorphic restoration is not removing the actual sources of stream health impairment that may arise in the upstream watershed. More science could help to identify how to improve the ecological condition of streams through management. The outcome of stream restoration monitoring has revealed that while geomorphic and hydrodynamic functions of stream restoration projects may be achieved, biotic stream function improvements remain elusive. As such, ensuring uplift may be achieved by avoiding restoration projects that risk resources in higher-quality streams and riparian corridors. Reach-scale restoration often does not effectively mitigate the watershed-scale stressors of stream ecosystems. If a desired outcome of stream restoration includes ecological uplift, then focusing efforts on improving stream ecology could help meet that goal.","language":"English","publisher":"Chesapeake Bay Program","collaboration":"Chesapeake Bay Program","usgsCitation":"Noe, G.E., Law, N., Berger, J., Filoso, S., Drescher, S., Fraley-McNeal, L., Hayes, B., Mayer, P., Ruck, C., Stack, B., Starr, R., Stranko, S., and Thompson, T., 2024, The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes: STAC Workshop Report 24-006, 96 p.","productDescription":"96 p.","ipdsId":"IP-169302","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":463690,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeake.org/stac/document-library/the-state-of-the-science-and-practice-of-stream-restoration-in-the-chesapeake-lessons-learned-to-inform-better-implementation-assessment-and-outcomes/"},{"id":463703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":917864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Law, Neely","contributorId":345921,"corporation":false,"usgs":false,"family":"Law","given":"Neely","email":"","affiliations":[{"id":82752,"text":"Fairfax County, Virginia","active":true,"usgs":false}],"preferred":false,"id":917865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, Joel","contributorId":289719,"corporation":false,"usgs":false,"family":"Berger","given":"Joel","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":917866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filoso, Solange","contributorId":149191,"corporation":false,"usgs":false,"family":"Filoso","given":"Solange","email":"","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":917868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drescher, Sadie","contributorId":345922,"corporation":false,"usgs":false,"family":"Drescher","given":"Sadie","email":"","affiliations":[{"id":64012,"text":"Chesapeake Bay Trust","active":true,"usgs":false}],"preferred":false,"id":917867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fraley-McNeal, L.","contributorId":345923,"corporation":false,"usgs":false,"family":"Fraley-McNeal","given":"L.","affiliations":[{"id":82753,"text":"Center for Watershed Protection","active":true,"usgs":false}],"preferred":false,"id":917869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Ben","contributorId":345924,"corporation":false,"usgs":false,"family":"Hayes","given":"Ben","email":"","affiliations":[{"id":16651,"text":"Bucknell University","active":true,"usgs":false}],"preferred":false,"id":917870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mayer, Paul","contributorId":210131,"corporation":false,"usgs":false,"family":"Mayer","given":"Paul","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":917871,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruck, Chris","contributorId":345925,"corporation":false,"usgs":false,"family":"Ruck","given":"Chris","email":"","affiliations":[{"id":82752,"text":"Fairfax County, Virginia","active":true,"usgs":false}],"preferred":false,"id":917872,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stack, Bill","contributorId":345926,"corporation":false,"usgs":false,"family":"Stack","given":"Bill","email":"","affiliations":[{"id":82753,"text":"Center for Watershed Protection","active":true,"usgs":false}],"preferred":false,"id":917873,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Starr, Rich","contributorId":345927,"corporation":false,"usgs":false,"family":"Starr","given":"Rich","email":"","affiliations":[{"id":82756,"text":"Ecosystem Planning and Restoration","active":true,"usgs":false}],"preferred":false,"id":917874,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stranko, Scott","contributorId":337238,"corporation":false,"usgs":false,"family":"Stranko","given":"Scott","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":917875,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, Tess","contributorId":345928,"corporation":false,"usgs":false,"family":"Thompson","given":"Tess","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":917876,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70261908,"text":"70261908 - 2024 - The LTAR cropland Common Experiment at Lower Chesapeake Bay","interactions":[],"lastModifiedDate":"2025-01-02T15:16:01.951758","indexId":"70261908","displayToPublicDate":"2024-11-04T09:04:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"The LTAR cropland Common Experiment at Lower Chesapeake Bay","docAbstract":"The Lower Chesapeake Bay (LCB) Long-Term Agroecosystem Research (LTAR) Common Experiment (CE) located in Beltsville, MD, focuses on research of concern to producers of the major regional crops, which are corn (Zea mays L.), soybean [Glycine max (L.) Merr.], wheat (Triticum aestivum L.), and various forage species. Livestock production in the region includes broiler and laying chickens (Gallus gallus domesticus L.) and dairy and beef cattle (Bos taurus L.). The LCB region is among the most heavily populated in the United States. Urban development pressure is high for both farms and natural areas. The need to restore Chesapeake Bay water quality is a major influence on regional agricultural practices. Conservation practices such as cover cropping, no-till agriculture, and nutrient management planning are more common in the region compared to nationally. However, farmers still face management challenges implementing practices that address water quality and the rise of herbicide-resistant weeds. Researchers at the LCB site recognize the need to protect the Chesapeake and Delaware Bays and maintain farmer profitability. The LCB CE compares a 3-year crop rotation system featuring alternative crop management (cover crop intensification, crop rotation diversification, and integrated weed management [IWM]) with a prevailing 2-year system (no cover crops and no IWM), both under continuous no-tillage, to identify the optimal balance to promote the sustainability of regional cropping systems. The LTAR LCB site provides data-driven tools and solutions to support farmers in the mid-Atlantic region.
","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20650","usgsCitation":"Bagley, G., Ackroyd, V., Cavagielli, M., White, K.E., Schomberg, H., Law, E., Bejleri, K., Hively, W.D., Fischel, M., Maul, J., Hapeman, C., McCarty, G.W., Dulaney, W., Timlin, D., and Mirsky, S., 2024, The LTAR cropland Common Experiment at Lower Chesapeake Bay: Journal of Environmental Quality, v. 53, no. 6, p. 814-822, https://doi.org/10.1002/jeq2.20650.","productDescription":"9 p.","startPage":"814","endPage":"822","ipdsId":"IP-165197","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20650","text":"Publisher Index Page"},{"id":465609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Pennsylvania, Virginia","otherGeospatial":"Lower Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.9556764775082,\n 40.46153259662566\n ],\n [\n -74.48383881348687,\n 41.10110823458638\n ],\n [\n -75.02078942979834,\n 41.711418167779954\n ],\n [\n -76.9982529856057,\n 39.663312203537316\n ],\n [\n -78.15055555483706,\n 39.27537696005348\n ],\n [\n -79.51486618297113,\n 36.93865143986331\n ],\n [\n -75.88636033588946,\n 36.784474162430556\n ],\n [\n -75.05876660779819,\n 38.620227507492245\n ],\n [\n -74.4488327943047,\n 39.51207480207262\n ],\n [\n -73.9556764775082,\n 40.46153259662566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bagley, Gwen","contributorId":347693,"corporation":false,"usgs":false,"family":"Bagley","given":"Gwen","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackroyd, Victoria E.P.","contributorId":347696,"corporation":false,"usgs":false,"family":"Ackroyd","given":"Victoria E.P.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavagielli, Michelle A.","contributorId":347694,"corporation":false,"usgs":false,"family":"Cavagielli","given":"Michelle A.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, K. E.","contributorId":65873,"corporation":false,"usgs":true,"family":"White","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":922250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schomberg, Harry H.","contributorId":347695,"corporation":false,"usgs":false,"family":"Schomberg","given":"Harry H.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Law, E.P.","contributorId":347703,"corporation":false,"usgs":false,"family":"Law","given":"E.P.","affiliations":[],"preferred":false,"id":922251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bejleri, K.","contributorId":347697,"corporation":false,"usgs":false,"family":"Bejleri","given":"K.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischel, M.H.H.","contributorId":347698,"corporation":false,"usgs":false,"family":"Fischel","given":"M.H.H.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maul, Jude E.","contributorId":347699,"corporation":false,"usgs":false,"family":"Maul","given":"Jude E.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hapeman, Cathleen J.","contributorId":347700,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen J.","affiliations":[{"id":65190,"text":"USDA-ARS Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":922241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":922242,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dulaney, Wayne","contributorId":333592,"corporation":false,"usgs":false,"family":"Dulaney","given":"Wayne","email":"","affiliations":[{"id":65190,"text":"USDA-ARS Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":922243,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Timlin, Dennis J.","contributorId":347701,"corporation":false,"usgs":false,"family":"Timlin","given":"Dennis J.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922244,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mirsky, Steven B.","contributorId":347702,"corporation":false,"usgs":false,"family":"Mirsky","given":"Steven B.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922245,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70265637,"text":"70265637 - 2024 - A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers","interactions":[],"lastModifiedDate":"2025-04-14T15:41:33.931061","indexId":"70265637","displayToPublicDate":"2024-11-03T10:37:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers","docAbstract":"As global temperatures increase, the spatiotemporal arrangement of thermal habitats in Florida rivers may shift, creating the potential for greater dispersal and establishment of nonnative tropical freshwater fishes. To understand how water temperature changes may affect the spatial distribution of these nonnative species, more effective water temperature prediction models are necessary. Currently, most models employ either a generalized air–water temperature relationship or require expensive and complicated tools to measure hydrometeorological factors (e.g. groundwater input). Thus, we developed a novel modeling approach that is accurate, accessible, and cost-effective in allowing fisheries managers to project water temperatures in rivers across Central and North Florida. To characterize the potential for nonnative fishes to spread northward, we evaluated two hardy and abundant species currently found primarily in South Florida: Mayan Cichlid (Mayaheros urophthalmus) and Oscar (Astronotus ocellatus). Our results show an increase in thermally suitable winter days for both species in 10 of 11 rivers studied, consistent with predicted water temperature warming under 16 climate-change scenarios spanning different levels of air temperature warming (+1 °C, +2 °C, +3 °C, +4 °C) and precipitation/groundwater thermal sensitivity (0, 0.33, 0.66, 1). Considering resource limitations, fisheries managers can use our water temperature modeling approach to predict effects of climate change on Mayan Cichlid and Oscar survival, growth, and dispersal and take actions to manage potential northward movement of these species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2024.2405721","usgsCitation":"Scott, A., and Carlson, A.K., 2024, A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers: Journal of Freshwater Ecology, v. 39, no. 1, 2405721, 24 p., https://doi.org/10.1080/02705060.2024.2405721.","productDescription":"2405721, 24 p.","ipdsId":"IP-166869","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488211,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2405721","text":"Publisher Index Page"},{"id":484504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.821585,27.964443],[-82.829801,27.968469],[-82.823063,28.044758],[-82.836326,28.073193],[-82.830525,28.085293],[-82.826125,28.083793],[-82.813435,28.03716],[-82.815168,28.012547],[-82.821755,28.002494],[-82.815168,27.973721],[-82.821585,27.964443]]],[[[-81.582923,24.658732],[-81.562917,24.692912],[-81.535323,24.67954],[-81.51898,24.687818],[-81.5124,24.703737],[-81.476642,24.711244],[-81.469275,24.704286],[-81.459043,24.707355],[-81.451881,24.714518],[-81.456588,24.740097],[-81.451267,24.747464],[-81.432032,24.722908],[-81.421595,24.737641],[-81.430599,24.747259],[-81.425483,24.752989],[-81.392947,24.743371],[-81.38558,24.726182],[-81.36041,24.708788],[-81.319282,24.701238],[-81.309664,24.665017],[-81.298028,24.656774],[-81.332831,24.639528],[-81.395096,24.621062],[-81.401946,24.623564],[-81.403319,24.640294],[-81.414187,24.647167],[-81.448623,24.640172],[-81.470411,24.641985],[-81.480951,24.645121],[-81.47641,24.653197],[-81.480504,24.659757],[-81.49858,24.66498],[-81.505585,24.654609],[-81.511165,24.625135],[-81.54645,24.614895],[-81.602998,24.586444],[-81.664209,24.573143],[-81.685278,24.558739],[-81.81289,24.546468],[-81.814446,24.56358],[-81.811386,24.56975],[-81.800676,24.570989],[-81.794057,24.586],[-81.739241,24.589973],[-81.730473,24.58196],[-81.705364,24.597647],[-81.687017,24.592534],[-81.655735,24.616295],[-81.637087,24.621408],[-81.614829,24.642764],[-81.614529,24.650584],[-81.582923,24.658732]]],[[[-82.15068,24.576331],[-82.143075,24.593395],[-82.125268,24.597426],[-82.104187,24.588256],[-82.099417,24.572522],[-82.116787,24.549144],[-82.159439,24.548212],[-82.165206,24.552159],[-82.164426,24.563375],[-82.15068,24.576331]]],[[[-81.249799,24.673357],[-81.243232,24.673998],[-81.244761,24.669202],[-81.281778,24.65375],[-81.260006,24.674848],[-81.249799,24.673357]]],[[[-80.909954,24.781154],[-80.906288,24.769867],[-80.912042,24.76505],[-80.938543,24.767535],[-81.015933,24.719881],[-81.023794,24.716901],[-81.032447,24.727323],[-81.064554,24.715453],[-81.075855,24.704266],[-81.078439,24.692382],[-81.108041,24.688592],[-81.125371,24.708291],[-81.066816,24.723926],[-81.041797,24.742965],[-81.016918,24.734676],[-80.960129,24.764226],[-80.909954,24.781154]]],[[[-81.317673,24.75729],[-81.305468,24.756612],[-81.290801,24.736862],[-81.288259,24.720881],[-81.302984,24.714199],[-81.310744,24.727068],[-81.326844,24.728375],[-81.357417,24.756834],[-81.342695,24.75625],[-81.324637,24.76721],[-81.317673,24.75729]]],[[[-80.89054,24.791678],[-80.884572,24.791561],[-80.906874,24.783744],[-80.89054,24.791678]]],[[[-80.788263,24.824218],[-80.796053,24.81194],[-80.822342,24.812629],[-80.850338,24.8026],[-80.79278,24.843918],[-80.780564,24.84052],[-80.788263,24.824218]]],[[[-80.729275,24.865361],[-80.719977,24.864644],[-80.691762,24.885759],[-80.690354,24.881539],[-80.71185,24.863323],[-80.766966,24.836158],[-80.729275,24.865361]]],[[[-84.777208,29.707398],[-84.729836,29.738881],[-84.696726,29.76993],[-84.694939,29.761844],[-84.713747,29.74139],[-84.776954,29.692191],[-84.884632,29.652248],[-84.957779,29.612635],[-85.051033,29.586928],[-85.097082,29.625215],[-85.023501,29.597073],[-85.017205,29.604379],[-84.968314,29.617238],[-84.920333,29.648638],[-84.813352,29.687028],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.114268,29.688658],[-85.093902,29.684838],[-85.077237,29.670862],[-85.097218,29.633004],[-85.124913,29.628433],[-85.18453,29.663987],[-85.222546,29.678039],[-85.184776,29.68271],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.255159,26.70816],[-82.246535,26.706435],[-82.24251,26.694361],[-82.246535,26.683437],[-82.218342,26.626407],[-82.214337,26.602944],[-82.177541,26.502328],[-82.166042,26.489679],[-82.149368,26.477605],[-82.120046,26.473581],[-82.088423,26.455182],[-82.076924,26.466106],[-82.062551,26.470131],[-82.038403,26.456907],[-82.013913,26.452058],[-82.063114,26.425459],[-82.082915,26.422059],[-82.126671,26.436279],[-82.177017,26.471558],[-82.186441,26.489221],[-82.205523,26.566536],[-82.222131,26.590402],[-82.238872,26.636433],[-82.268007,26.682791],[-82.264351,26.698496],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.351399,25.190615],[-80.349855,25.168825],[-80.377084,25.130487],[-80.399767,25.108536],[-80.428318,25.095547],[-80.443375,25.076084],[-80.47387,25.060253],[-80.493881,25.038502],[-80.48912,25.031301],[-80.494781,25.023019],[-80.537995,24.990244],[-80.565831,24.958155],[-80.611693,24.93842],[-80.635571,24.913003],[-80.659395,24.897433],[-80.660198,24.90498],[-80.641306,24.914311],[-80.623866,24.931236],[-80.621658,24.944265],[-80.581131,24.964738],[-80.570813,24.962215],[-80.558785,24.971505],[-80.54411,24.999916],[-80.545971,25.01477],[-80.524498,25.016945],[-80.509136,25.028317],[-80.495569,25.047497],[-80.460652,25.078904],[-80.465496,25.086609],[-80.494715,25.102269],[-80.484188,25.10943],[-80.47748,25.107407],[-80.476174,25.099454],[-80.450399,25.088751],[-80.433575,25.106317],[-80.446473,25.151287],[-80.41326,25.137053],[-80.395467,25.150694],[-80.387164,25.170859],[-80.391909,25.19221],[-80.369965,25.206444],[-80.3498,25.210595],[-80.337345,25.231353],[-80.336159,25.261601],[-80.368186,25.282359],[-80.339421,25.290069],[-80.328746,25.28651],[-80.292567,25.314385],[-80.275961,25.344039],[-80.256982,25.361239],[-80.246307,25.398603],[-80.21428,25.416988],[-80.192336,25.473331],[-80.188778,25.50773],[-80.174544,25.518406],[-80.173951,25.482821],[-80.184033,25.468587],[-80.204198,25.412244],[-80.221991,25.397417],[-80.240376,25.347005],[-80.250581,25.34193]]],[[[-83.309455,30.634417],[-82.214839,30.568591],[-82.231916,30.55627],[-82.23582,30.537187],[-82.226933,30.510281],[-82.201416,30.485164],[-82.210291,30.42459],[-82.19294,30.378779],[-82.165192,30.358035],[-82.104834,30.368319],[-82.094687,30.360781],[-82.068533,30.359184],[-82.050069,30.362338],[-82.036825,30.377884],[-82.04199,30.403266],[-82.034005,30.422357],[-82.037209,30.434518],[-82.017779,30.475081],[-82.018361,30.531184],[-82.005477,30.563495],[-82.015708,30.601704],[-82.026941,30.606153],[-82.028499,30.621829],[-82.049507,30.655548],[-82.050432,30.676266],[-82.036426,30.706585],[-82.043795,30.729641],[-82.039634,30.747727],[-82.01266,30.761289],[-82.024035,30.783156],[-82.017051,30.791657],[-82.007865,30.792937],[-81.981273,30.776767],[-81.973856,30.778487],[-81.962534,30.796526],[-81.962175,30.818001],[-81.949787,30.827493],[-81.910926,30.815889],[-81.89572,30.821098],[-81.868608,30.792754],[-81.852626,30.794439],[-81.842058,30.78712],[-81.808529,30.790014],[-81.792769,30.784432],[-81.782653,30.769937],[-81.763372,30.77382],[-81.719927,30.744634],[-81.694778,30.748414],[-81.688925,30.741434],[-81.672824,30.738935],[-81.664598,30.746599],[-81.652123,30.742435],[-81.65177,30.732284],[-81.646137,30.727591],[-81.625098,30.733017],[-81.617663,30.722046],[-81.609495,30.720705],[-81.601206,30.728141],[-81.542675,30.713593],[-81.530531,30.722858],[-81.489537,30.7261],[-81.472597,30.713312],[-81.444124,30.709714],[-81.42742,30.69802],[-81.443099,30.600938],[-81.442564,30.555189],[-81.434064,30.522569],[-81.447087,30.503679],[-81.440108,30.497678],[-81.42601,30.496739],[-81.410809,30.482039],[-81.407008,30.42204],[-81.397422,30.400626],[-81.396407,30.34004],[-81.385505,30.273841],[-81.308978,29.96944],[-81.295268,29.928614],[-81.270442,29.883106],[-81.256711,29.784693],[-81.240924,29.739218],[-81.163581,29.55529],[-80.966176,29.14796],[-80.709725,28.756692],[-80.574868,28.585166],[-80.560973,28.530736],[-80.525094,28.459454],[-80.526732,28.451705],[-80.562877,28.437779],[-80.587813,28.410856],[-80.606874,28.336484],[-80.604214,28.257733],[-80.589975,28.17799],[-80.566432,28.09563],[-80.508871,27.970477],[-80.383695,27.740045],[-80.350553,27.628361],[-80.330956,27.597541],[-80.311757,27.524625],[-80.30117,27.500314],[-80.293171,27.500314],[-80.253665,27.37979],[-80.16147,27.192814],[-80.153375,27.169308],[-80.159554,27.163325],[-80.093909,27.018587],[-80.031362,26.796339],[-80.03212,26.77153],[-80.037462,26.76634],[-80.032862,26.700842],[-80.038863,26.569347],[-80.060564,26.444652],[-80.079865,26.264358],[-80.089365,26.231859],[-80.108995,26.088372],[-80.117778,25.986369],[-80.119684,25.841043],[-80.127987,25.772245],[-80.144,25.740812],[-80.154972,25.66549],[-80.160903,25.664897],[-80.176916,25.685062],[-80.166241,25.72895],[-80.184626,25.745557],[-80.197674,25.74437],[-80.240376,25.724206],[-80.267065,25.651849],[-80.296719,25.622195],[-80.305615,25.593134],[-80.302057,25.567632],[-80.313918,25.539164],[-80.328746,25.53264],[-80.339421,25.499427],[-80.337049,25.465621],[-80.328152,25.443084],[-80.320442,25.437153],[-80.326373,25.422919],[-80.32578,25.39801],[-80.306801,25.384369],[-80.31036,25.3731],[-80.335269,25.338701],[-80.374116,25.31735],[-80.418872,25.235532],[-80.495341,25.199463],[-80.569124,25.190117],[-80.669236,25.137837],[-80.777499,25.135047],[-80.82653,25.160478],[-80.838227,25.174791],[-80.858167,25.176576],[-80.899459,25.162337],[-80.900559,25.139755],[-80.970727,25.134084],[-80.999176,25.124222],[-81.049308,25.128322],[-81.079859,25.118797],[-81.141024,25.163868],[-81.146737,25.193139],[-81.171265,25.221609],[-81.16207,25.289833],[-81.148915,25.318067],[-81.151916,25.324766],[-81.140099,25.341117],[-81.12141,25.33875],[-81.117265,25.354953],[-81.128492,25.380511],[-81.150508,25.387255],[-81.146765,25.407577],[-81.168652,25.463848],[-81.208201,25.504937],[-81.204389,25.538908],[-81.209321,25.548611],[-81.225557,25.55847],[-81.240519,25.599041],[-81.240677,25.613629],[-81.253951,25.638181],[-81.290328,25.687506],[-81.328935,25.717233],[-81.346078,25.721473],[-81.343984,25.747668],[-81.361875,25.772715],[-81.340406,25.786631],[-81.352731,25.822015],[-81.386127,25.839906],[-81.394476,25.851834],[-81.417536,25.864954],[-81.441391,25.863761],[-81.458487,25.868929],[-81.473992,25.888411],[-81.508979,25.884037],[-81.511762,25.89676],[-81.527665,25.901531],[-81.584519,25.888808],[-81.644553,25.897953],[-81.663821,25.885605],[-81.678287,25.845301],[-81.68954,25.85271],[-81.713172,25.897568],[-81.727086,25.907207],[-81.73195,25.931506],[-81.749724,25.960463],[-81.747834,25.994273],[-81.762439,26.00607],[-81.801663,26.088227],[-81.820675,26.236735],[-81.833142,26.294518],[-81.868983,26.378648],[-81.91171,26.427158],[-81.964212,26.457957],[-81.969509,26.476505],[-82.008961,26.484052],[-82.01368,26.490829],[-82.00908,26.505203],[-82.024604,26.512677],[-82.043577,26.519577],[-82.06715,26.513252],[-82.07175,26.492554],[-82.105672,26.48393],[-82.111996,26.54085],[-82.137869,26.637441],[-82.181565,26.681712],[-82.17984,26.696661],[-82.173516,26.701836],[-82.139019,26.702986],[-82.125795,26.699536],[-82.106247,26.667339],[-82.099922,26.662739],[-82.093023,26.665614],[-82.084974,26.702411],[-82.066575,26.742657],[-82.061401,26.789228],[-82.055076,26.802452],[-82.059101,26.876621],[-82.090723,26.888694],[-82.093023,26.906518],[-82.090148,26.923191],[-82.061976,26.931241],[-82.063126,26.950214],[-82.076349,26.958263],[-82.107972,26.957688],[-82.117171,26.954239],[-82.137294,26.926066],[-82.162017,26.925491],[-82.175241,26.916867],[-82.156267,26.851898],[-82.147068,26.789803],[-82.151093,26.783479],[-82.172941,26.778879],[-82.17869,26.772555],[-82.221812,26.77198],[-82.232193,26.78288],[-82.251134,26.755881],[-82.259867,26.717398],[-82.269499,26.784674],[-82.289086,26.827784],[-82.351649,26.908384],[-82.445718,27.060634],[-82.477019,27.141231],[-82.539719,27.254326],[-82.569754,27.279452],[-82.569248,27.298588],[-82.597629,27.335754],[-82.642821,27.38972],[-82.691821,27.437218],[-82.714521,27.500415],[-82.745748,27.538834],[-82.708121,27.523514],[-82.710621,27.501715],[-82.706821,27.498415],[-82.686421,27.497215],[-82.683621,27.513115],[-82.674621,27.519614],[-82.65072,27.523115],[-82.632053,27.551908],[-82.612019,27.571231],[-82.611717,27.585283],[-82.584629,27.596021],[-82.570607,27.608882],[-82.558538,27.638678],[-82.514265,27.705588],[-82.494891,27.718963],[-82.477638,27.723004],[-82.482305,27.742649],[-82.434635,27.764355],[-82.418401,27.803187],[-82.402857,27.812671],[-82.393383,27.837519],[-82.402615,27.882602],[-82.413915,27.901401],[-82.451591,27.907506],[-82.460016,27.9116],[-82.462078,27.920066],[-82.478063,27.92768],[-82.491117,27.9145],[-82.488057,27.863566],[-82.46884,27.843295],[-82.47244,27.822559],[-82.511193,27.828015],[-82.553946,27.848462],[-82.552918,27.862702],[-82.538618,27.864901],[-82.529918,27.877501],[-82.542818,27.890601],[-82.531318,27.9039],[-82.533718,27.932999],[-82.553918,27.966998],[-82.576003,27.969424],[-82.62959,27.998474],[-82.678606,27.993715],[-82.684793,27.971824],[-82.720522,27.955798],[-82.724122,27.948098],[-82.720395,27.937199],[-82.710022,27.928299],[-82.691621,27.924899],[-82.685121,27.916299],[-82.628063,27.910397],[-82.63422,27.9037],[-82.63212,27.8911],[-82.61002,27.873501],[-82.567919,27.883701],[-82.566819,27.858002],[-82.598443,27.857582],[-82.586519,27.816703],[-82.622723,27.779868],[-82.63052,27.753905],[-82.62572,27.727006],[-82.63362,27.710607],[-82.652521,27.700307],[-82.677321,27.706207],[-82.679019,27.696054],[-82.713629,27.698661],[-82.718822,27.692007],[-82.721622,27.663908],[-82.712555,27.646647],[-82.698091,27.638858],[-82.705017,27.62531],[-82.733076,27.612972],[-82.739122,27.636909],[-82.738022,27.706807],[-82.746223,27.731306],[-82.760923,27.745205],[-82.783124,27.783804],[-82.828561,27.822254],[-82.846526,27.854301],[-82.851126,27.8863],[-82.840882,27.937162],[-82.831388,27.962117],[-82.824875,27.960201],[-82.821975,27.956868],[-82.838484,27.909111],[-82.832155,27.909242],[-82.805462,27.960201],[-82.792635,28.01116],[-82.792635,28.032307],[-82.782724,28.055894],[-82.781324,28.127591],[-82.790724,28.15249],[-82.808474,28.154803],[-82.805097,28.172181],[-82.797762,28.187789],[-82.762643,28.219013],[-82.764103,28.244345],[-82.759072,28.25402],[-82.746188,28.261192],[-82.732792,28.291933],[-82.73146,28.325075],[-82.706112,28.368057],[-82.706322,28.401325],[-82.697433,28.420166],[-82.684137,28.428019],[-82.674787,28.441956],[-82.680396,28.457194],[-82.665055,28.484434],[-82.669416,28.519879],[-82.656694,28.544814],[-82.66165,28.554143],[-82.654138,28.590837],[-82.664055,28.606584],[-82.674665,28.647588],[-82.668889,28.694302],[-82.712373,28.720921],[-82.698281,28.75701],[-82.730245,28.850155],[-82.688864,28.905609],[-82.702618,28.932955],[-82.723861,28.953506],[-82.735754,28.973709],[-82.737872,28.995703],[-82.758906,28.993277],[-82.764055,28.999707],[-82.753513,29.026496],[-82.759704,29.054192],[-82.783328,29.064619],[-82.780558,29.07358],[-82.816925,29.076215],[-82.823659,29.098902],[-82.801166,29.105103],[-82.799117,29.110647],[-82.805703,29.129848],[-82.804736,29.146624],[-82.827073,29.158425],[-82.974676,29.17091],[-82.991653,29.180664],[-83.018212,29.151417],[-83.019071,29.141324],[-83.030453,29.134023],[-83.053207,29.130839],[-83.056867,29.146263],[-83.068249,29.153135],[-83.061162,29.176113],[-83.087839,29.21642],[-83.074734,29.247975],[-83.077265,29.255331],[-83.089013,29.266502],[-83.107477,29.268889],[-83.128027,29.282733],[-83.169576,29.290355],[-83.17826,29.327916],[-83.175518,29.34469],[-83.200702,29.373855],[-83.202446,29.394422],[-83.218075,29.420492],[-83.240509,29.433178],[-83.272019,29.432256],[-83.294747,29.437923],[-83.311546,29.475666],[-83.33113,29.475594],[-83.356722,29.499901],[-83.370288,29.499901],[-83.379254,29.503558],[-83.383973,29.512995],[-83.400252,29.517242],[-83.405256,29.578319],[-83.39948,29.612956],[-83.414701,29.670536],[-83.436259,29.677389],[-83.455356,29.676444],[-83.483143,29.690478],[-83.483567,29.698542],[-83.493728,29.708388],[-83.537645,29.72306],[-83.566018,29.761434],[-83.584716,29.77608],[-83.585899,29.811754],[-83.595493,29.827984],[-83.618568,29.842336],[-83.63798,29.886073],[-83.679219,29.918513],[-83.788729,29.976982],[-83.82869,29.983187],[-83.845427,29.998068],[-83.93151,30.039068],[-83.931879,30.044175],[-83.991607,30.08392],[-84.000716,30.096209],[-84.024274,30.103271],[-84.06299,30.101378],[-84.083057,30.092286],[-84.10273,30.093611],[-84.11384,30.085478],[-84.124889,30.090601],[-84.167881,30.071422],[-84.179149,30.073187],[-84.19853,30.087937],[-84.237014,30.08556],[-84.247491,30.10114],[-84.256439,30.103791],[-84.272511,30.092358],[-84.270792,30.068094],[-84.277168,30.060263],[-84.297836,30.057451],[-84.315344,30.069492],[-84.358923,30.058224],[-84.365882,30.024588],[-84.361962,29.987739],[-84.3477,29.984123],[-84.343041,29.9751],[-84.333746,29.923721],[-84.343389,29.899539],[-84.349066,29.896812],[-84.378937,29.893112],[-84.423834,29.902996],[-84.443652,29.913785],[-84.451705,29.929085],[-84.494562,29.913957],[-84.511996,29.916574],[-84.535873,29.910092],[-84.603303,29.876117],[-84.647958,29.847104],[-84.65645,29.834277],[-84.692053,29.829059],[-84.755595,29.78854],[-84.868271,29.742454],[-84.881777,29.733882],[-84.888031,29.722406],[-84.901781,29.735723],[-84.877111,29.772888],[-84.893992,29.785176],[-84.90413,29.786279],[-84.91511,29.783303],[-84.93837,29.750211],[-84.964007,29.742422],[-84.968841,29.72708],[-84.993264,29.714961],[-85.037212,29.711074],[-85.072123,29.719027],[-85.121473,29.715854],[-85.177284,29.700193],[-85.22745,29.693633],[-85.259719,29.681296],[-85.319215,29.681494],[-85.343619,29.672004],[-85.347711,29.66719],[-85.344768,29.654793],[-85.380303,29.698485],[-85.397871,29.740498],[-85.413983,29.799865],[-85.417971,29.828855],[-85.413575,29.85294],[-85.405815,29.865817],[-85.392469,29.870914],[-85.405011,29.830151],[-85.405907,29.80193],[-85.37796,29.709621],[-85.353885,29.684765],[-85.317661,29.691286],[-85.31139,29.697557],[-85.302591,29.808094],[-85.31142,29.814373],[-85.317464,29.838894],[-85.336654,29.849295],[-85.363731,29.898915],[-85.405052,29.938487],[-85.425956,29.949888],[-85.487764,29.961227],[-85.509148,29.971466],[-85.571907,30.02644],[-85.588242,30.055543],[-85.601178,30.056342],[-85.69681,30.09689],[-85.775405,30.15629],[-85.9226,30.238024],[-86.089963,30.303569],[-86.222561,30.343585],[-86.2987,30.363049],[-86.412076,30.380346],[-86.50615,30.3823],[-86.632953,30.396299],[-86.750906,30.391881],[-86.909679,30.372423],[-87.206254,30.320943],[-87.267827,30.31548],[-87.295422,30.323503],[-87.518324,30.280435],[-87.452378,30.300201],[-87.450078,30.3111],[-87.50278,30.307301],[-87.504701,30.324039],[-87.49998,30.328957],[-87.459978,30.3363],[-87.452278,30.344099],[-87.451878,30.364999],[-87.438678,30.380798],[-87.440678,30.391498],[-87.429578,30.406498],[-87.403477,30.410198],[-87.366591,30.436648],[-87.370768,30.446865],[-87.399877,30.450997],[-87.425078,30.465596],[-87.434678,30.479196],[-87.431178,30.495795],[-87.447702,30.510458],[-87.446586,30.527068],[-87.43544,30.54914],[-87.418647,30.561837],[-87.406558,30.599928],[-87.397308,30.608728],[-87.393588,30.63088],[-87.397262,30.654351],[-87.406958,30.675165],[-87.449362,30.698913],[-87.466338,30.700835],[-87.481225,30.716508],[-87.502317,30.72159],[-87.511729,30.733535],[-87.532607,30.743489],[-87.545044,30.778666],[-87.581869,30.812403],[-87.600486,30.820627],[-87.605776,30.831304],[-87.615923,30.834693],[-87.634938,30.865886],[-87.592055,30.951492],[-87.589187,30.964464],[-87.599172,30.995722],[-87.571281,30.99787],[-85.998643,30.99287],[-85.002368,31.000682],[-85.004026,30.973468],[-84.980127,30.961286],[-84.983627,30.936986],[-84.971026,30.928187],[-84.936828,30.884683],[-84.935256,30.854328],[-84.928335,30.844263],[-84.936042,30.820671],[-84.928323,30.79309],[-84.918023,30.77809],[-84.920123,30.76599],[-84.914322,30.753591],[-84.896122,30.750591],[-84.864693,30.711542],[-83.309455,30.634417]]]]},\"properties\":{\"name\":\"Florida\",\"nation\":\"USA \"}}]}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Alexandra M.","contributorId":353193,"corporation":false,"usgs":false,"family":"Scott","given":"Alexandra M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":933153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70260841,"text":"70260841 - 2024 - The chlorine evolution of arc magmas and the crustal water filter","interactions":[],"lastModifiedDate":"2024-11-12T15:23:22.565635","indexId":"70260841","displayToPublicDate":"2024-11-02T09:20:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The chlorine evolution of arc magmas and the crustal water filter","docAbstract":"Degassing of water from magmatic systems is key to transporting metals from magmas to form ore deposits, but elements like chlorine, through the formation of anion complexes, can be important in solubilizing and mobilizing these metals into water-rich fluids. Reconstructing the Cl systematics of evolving magmas is thus an important step towards understanding the origins of ore deposits, but the magmatic record is not well preserved because Cl can be lost during degassing. Here, we reconstruct the pre-degassing history of Cl in subduction zone (arc) magmas through amphiboles, which incorporate Cl directly into their crystal structures, preserving pre-eruptive magmatic signatures. Amphibole-reconstructed Cl contents indicate that magmatic differentiation can lead to a 4-fold increase in concentration due to Cl's incompatible behavior. The amphibole-reconstructed Cl contents of arc magmas are also significantly higher than values reported from melt inclusions, suggesting that many melt inclusions may have been trapped after magmas had already lost some Cl. We show that such Cl loss is likely associated with preferential partitioning of Cl into hydrous fluids degassed from the magma during crustal storage or ascent. The extent of Cl depletion can thus be used to estimate how much water was lost during early degassing. If Cl is important to certain ore deposits, magmatic water content may play an indirect role. Magmas too rich in water will lose water and hence Cl at greater depths, rendering such magmas less able to transport metals to the upper crust. By contrast, drier magmas may not produce enough Cl-rich fluids to mobilize metals. Thus, magmas with intermediate water contents may produce enough Cl-rich fluids at the right depths for certain types of ore deposits.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.119048","usgsCitation":"Borchardt, J.S., and Lee, C., 2024, The chlorine evolution of arc magmas and the crustal water filter: Earth and Planetary Science Letters, v. 648, 119048, 9 p., https://doi.org/10.1016/j.epsl.2024.119048.","productDescription":"119048, 9 p.","ipdsId":"IP-167774","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":489865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.119048","text":"Publisher Index Page"},{"id":463871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borchardt, Jackson Stone 0000-0001-6891-3314","orcid":"https://orcid.org/0000-0001-6891-3314","contributorId":346157,"corporation":false,"usgs":true,"family":"Borchardt","given":"Jackson","email":"","middleInitial":"Stone","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":918266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Cin-Ty","contributorId":346158,"corporation":false,"usgs":false,"family":"Lee","given":"Cin-Ty","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":918267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70260411,"text":"ofr20241061 - 2024 - Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California","interactions":[],"lastModifiedDate":"2025-12-22T20:30:40.98767","indexId":"ofr20241061","displayToPublicDate":"2024-11-01T13:40:28","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1061","displayTitle":"Quality of Groundwater Used for Domestic Supply in the Eastern Sacramento Valley and Adjacent Foothills, California","title":"Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California","docAbstract":"More than 2 million Californians rely on groundwater from privately owned domestic wells for drinking-water supply. This report summarizes a water-quality survey of domestic and small-system drinking-water supply wells in the eastern Sacramento Valley and adjacent foothills where more than 25,000 residents are estimated to use privately owned domestic wells. Study results show that inorganic and organic constituents in groundwater were present above regulatory (maximum contaminant level, MCL) benchmarks for public drinking-water quality in 8 and 3 percent, respectively, of the aquifer area used for domestic drinking-water supply (herein, “domestic groundwater resources”; fig. 1).
The only inorganic constituent detected above regulatory benchmarks was arsenic. The only organic constituent exceeding regulatory benchmarks was the fumigant 1,2,3-trichloropropane (1,2,3-TCP). Three additional organic constituents—the disinfection by-product chloroform, the gasoline oxygenate methyl tert-butyl ether (MTBE), and the solvent tetrachloroethene (PCE)—were detected at low concentrations below one-tenth of regulatory benchmarks in 34, 10, and 10 percent of domestic groundwater resources, respectively. Total dissolved solids (TDS), iron, and manganese exceeded non-regulatory aesthetic guidelines for drinking water in 5, 10, and 26 percent of domestic groundwater resources, respectively. Per- and polyfluoroalkyl substances (PFASs) were detected in 29 percent of domestic groundwater resources,with 5 percent exceeding the recently enacted (April 2024) U.S. Environmental Protection Agency MCLs. Total coliform and enterococci bacteria were detected in 13 and 8 percent of domestic groundwater resources, respectively.
Redox sensitive constituents in this study included arsenic, manganese, nitrate, and iron. In the lower elevation portions of the eastern Sacramento Valley study area, reducing conditions in groundwater aquifers promote elevated arsenic, iron, and manganese, and conversely lower concentrations of nitrate. The presence of the volatile organic compound (VOC) 1,2,3-TCP was related to its past history in select agricultural land uses (on orchards or vineyards) in the Sacramento Valley; however, unlike in the San Joaquin Valley where orchards and vineyards are more common, its detection frequency was low (only detected in one well in this study). Chloroform was frequently detected in this study at low levels. Chloroform is a disinfection byproduct commonly found in domestic wells treated by shock chlorination. The solvent PCE is among the most frequently detected VOCs in groundwater, which is primarily related to its long history of use and its persistence in groundwater in oxic conditions. The gasoline oxygenate MTBE was a contaminant introduced to groundwater through atmospheric exchange when it was used as a fuel additive to decrease smog inducing emissions from vehicles. Its occurrence in groundwater at low levels is expected and makes it a potentially useful tracer of relatively recent recharge water being withdrawn from wells. The PFASs are anthropogenic chemicals with hundreds of uses, and they have been incorporated into many different products, processes, and applications worldwide. Like MTBE, the occurrence of PFASs in groundwater may be in part due to atmospheric exchange, but there are several other pathways that contribute PFASs to the environment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241061","collaboration":"Prepared in cooperation with California State Water Resources Control Board","usgsCitation":"Bennett, G.L., V, 2024, Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California: U.S. Geological Survey Open-File Report 2024–1061, 15 p., https://doi.org/10.3133/ofr20241061.","productDescription":"15 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-150528","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497891,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117769.htm","linkFileType":{"id":5,"text":"html"}},{"id":463494,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1061/images"},{"id":463493,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1061/ofr20241061.xml"},{"id":463495,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241061/full"},{"id":463492,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1061/ofr20241061.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1061/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern Sacramento Valley and adjacent foothills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25,\n 40\n ],\n [\n -122.25,\n 38.666\n ],\n [\n -120.5,\n 38.666\n ],\n [\n -120.5,\n 40\n ],\n [\n -122.25,\n 40\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Since the onset of the COVID-19 pandemic in early 2020, people have experienced food insecurity challenges because of increased prices of staple food commodities and loss of income or livelihood. Globally, countries with limited capacity to adapt have struggled to recover from pandemic-related disruptions and are further challenged to address adverse effects of climate change on agricultural production (United Nations [UN], 2022). Ukraine, a key agricultural exporter of staple food commodities, has a vital role in contributing to global food security, in particular through its wheat exports to countries in the Middle East, North Africa, and Europe (Martyshev and others, 2023). However, Ukraine’s role as a stable source of global wheat has been disrupted by the ongoing Russia-Ukraine war—a conflict which began in February of 2022.
Given the fragile state of global and local markets and food systems, and the increasing risk climate change poses to agricultural production globally, Ukraine has prioritized adopting efficient agricultural practices to contribute to stabilizing crop yields and to increase its capacity to export wheat and other staple crops. According to Ukraine’s Ministry of Agrarian Policy and Food (MINAGRO), along with addressing climate change, a contributing driver for this prioritization is the desire to join the European Union (EU) and the need to meet the requirements for the EU’s Common Agricultural Policy (CAP) for acceptance as a union member state (Markiyan Dmytrasevych, a former deputy minister of MINAGRO, oral commun., 2023). As a result, MINAGRO is considering climate-smart agricultural practices to secure future crop yields and build resilience within its agricultural sector, especially as the war has impeded millions of tons of crops from reaching domestic and global markets. This report employs the climate-smart agriculture framework to provide Ukrainian agricultural policy- and decision makers and others in technical and development assistance roles with an overview of relevant climate, environmental, and agricultural policy and market factors, and projections on climate and environmental resources that could influence the implementation of climate-smart agricultural practices in Ukraine, and aid Ukraine in successfully joining the EU.
","language":"English","publisher":"Department of Interior International Technical Assistance Program (DOI ITAP)","usgsCitation":"Romero, V., Schultz, A.R., Powlen, K., and Shah, S.D., 2024, Climate-smart agriculture for Ukraine: Winter wheat breeding for food security and climate adaptation, 62 p.","productDescription":"62 p.","ipdsId":"IP-160321","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":465376,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.doi.gov/media/document/report-agriculture-ukraine-winter-wheat-breeding-food-security-and-climate"},{"id":465406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ukraine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.786,52.10168],[32.15941,52.06127],[32.41206,52.28869],[32.71576,52.23847],[33.7527,52.33507],[34.39173,51.76888],[34.14198,51.56641],[34.22482,51.25599],[35.02218,51.20757],[35.37792,50.77396],[35.35612,50.5772],[36.62617,50.22559],[37.39346,50.38395],[38.01063,49.91566],[38.59499,49.92646],[40.06906,49.60106],[40.08079,49.30743],[39.67466,48.78382],[39.89563,48.23241],[39.73828,47.89894],[38.77058,47.82561],[38.25511,47.5464],[38.22354,47.10219],[37.42514,47.02222],[36.75985,46.6987],[35.82368,46.64596],[34.96234,46.2732],[35.02079,45.65122],[35.51001,45.40999],[36.53,45.46999],[36.33471,45.11322],[35.24,44.94],[33.88251,44.36148],[33.32642,44.56488],[33.54692,45.03477],[32.45417,45.32747],[32.6308,45.51919],[33.58816,45.85157],[33.29857,46.0806],[31.74414,46.33335],[31.67531,46.70625],[30.74875,46.5831],[30.37761,46.03241],[29.60329,45.29331],[29.14972,45.46493],[28.67978,45.30403],[28.23355,45.48828],[28.48527,45.59691],[28.65999,45.93999],[28.93372,46.25883],[28.86297,46.43789],[29.07211,46.51768],[29.17065,46.37926],[29.75997,46.34999],[30.02466,46.42394],[29.83821,46.52533],[29.90885,46.67436],[29.55967,46.92858],[29.41514,47.34665],[29.05087,47.51023],[29.1227,47.8491],[28.67089,48.11815],[28.25955,48.15556],[27.52254,48.46712],[26.85782,48.36821],[26.61934,48.22073],[26.19745,48.22088],[25.94594,47.98715],[25.20774,47.89106],[24.86632,47.73753],[24.40206,47.98188],[23.76096,47.9856],[23.14224,48.09634],[22.71053,47.88219],[22.64082,48.15024],[22.08561,48.42226],[22.28084,48.82539],[22.55814,49.08574],[22.77642,49.0274],[22.51845,49.47677],[23.42651,50.30851],[23.92276,50.42488],[24.02999,50.70541],[23.52707,51.57845],[24.00508,51.61744],[24.55311,51.88846],[25.32779,51.91066],[26.33796,51.83229],[27.45407,51.5923],[28.24162,51.57223],[28.61761,51.42771],[28.99284,51.60204],[29.25494,51.36823],[30.15736,51.41614],[30.55512,51.3195],[30.61945,51.82281],[30.92755,52.04235],[31.786,52.10168]]]},\"properties\":{\"name\":\"Ukraine\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romero, Veronica 0000-0002-8124-4386","orcid":"https://orcid.org/0000-0002-8124-4386","contributorId":302660,"corporation":false,"usgs":true,"family":"Romero","given":"Veronica","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, August Raleigh 0000-0002-5016-827X","orcid":"https://orcid.org/0000-0002-5016-827X","contributorId":302948,"corporation":false,"usgs":true,"family":"Schultz","given":"August","email":"","middleInitial":"Raleigh","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powlen, Kathryn 0000-0002-9685-0063","orcid":"https://orcid.org/0000-0002-9685-0063","contributorId":328833,"corporation":false,"usgs":true,"family":"Powlen","given":"Kathryn","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shah, Sachin D. 0000-0002-5440-5535 sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274732,"text":"70274732 - 2024 - Coldwater fish in wadeable streams","interactions":[],"lastModifiedDate":"2026-04-09T13:35:34.103086","indexId":"70274732","displayToPublicDate":"2024-11-01T10:29:27","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Coldwater fish in wadeable streams","docAbstract":"Although we are consistent with the past edition of this volume regarding standard sampling techniques for wadeable, coldwater streams, this edition reflects recent literature, advances in calibrating numbers, and obtaining lengths of fish collected and provides additional clarity regarding effort. We also specify a minimum of two netters and one electrofisher operator for backpack electrofishing to allow capture of fish that “roll” downstream without surfacing (e.g., fish like sculpins, which lack swim bladders); however, as in the past edition, a minimum of one netter and one operator may be used on studies focused on fish with swim bladders, like salmonids (salmons and trouts). Finally, this chapter mentions specifically what factors should lead to standard adjustments to techniques to account for the range of habitat features typically encountered in headwater streams.
Small, wadeable streams comprise most habitats available to fish in fluvial networks. Wadeable streams are generally less than 1 m deep, and fish can be sampled without the use of float craft. Cold waters are generally defined as having mean 7-d summer maximum water temperatures less than 20°C, providing habitat for coldwater fishes.
Fish fauna of small, coldwater North American streams typically include salmonids, sculpins, minnows, sticklebacks, suckers, or lampreys (Hocutt and Wiley 1986). Standard sampling protocols provided herein apply most readily to salmonids because of their sport and commercial values (Johnson et al. 2007). Salmonids also have cultural values, are well studied and widely distributed, and act as predators, competitors, and prey (Lee et al. 1997). However, many of these methods can also be applied effectively to sample nonsalmonids. As interest in nonsalmonid species grows, further development and investigation of sampling methods for a broader diversity of species is expected (see section 8.5).
","language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch8","usgsCitation":"Falke, J.A., Dunham, J., Rosenberger, A.E., Thurow, R.F., Dolloff, A., Howell, P.J., and Saunders, W.C., 2024, Coldwater fish in wadeable streams, https://doi.org/10.47886/9781934874769.ch8.","ipdsId":"IP-135033","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502277,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":958876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurow, Russell F.","contributorId":369327,"corporation":false,"usgs":false,"family":"Thurow","given":"Russell","middleInitial":"F.","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, Andrew","contributorId":369328,"corporation":false,"usgs":false,"family":"Dolloff","given":"Andrew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howell, Philip J.","contributorId":369329,"corporation":false,"usgs":false,"family":"Howell","given":"Philip","middleInitial":"J.","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saunders, W. Carl","contributorId":369330,"corporation":false,"usgs":false,"family":"Saunders","given":"W.","middleInitial":"Carl","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958881,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274726,"text":"70274726 - 2024 - An introduction to standardized sampling","interactions":[],"lastModifiedDate":"2026-04-08T15:23:31.605172","indexId":"70274726","displayToPublicDate":"2024-11-01T10:18:25","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"An introduction to standardized sampling","docAbstract":"In 2009, the first edition of Standard Methods for Sampling North American Freshwater Fishes was published. This was the first time in the history of fisheries science that standardization of methods and equipment had taken place on such a large geographic scale. Since its publication, the methods have been used extensively across North America by local, state, and federal agencies, organizations, and universities who have seen the advantages of large-scale data comparison. Authors have been invited to present these methods in other locations around the world to help with standard sampling programs on other continents. Now, with large-scale issues such as human-caused climate change, effects of landscape-scale regulations, and effects of habitat degradation continuing to increase in importance, the ability to compare data across wide regions and political boundaries, compare data over time, and collect data with improved accuracy and precision is more important than ever. This new edition of Standard Methods is sponsored by the American Fisheries Society (AFS), the U.S. Fish and Wildlife Service, and the Association of Fish and Wildlife Agencies (AFWA), with contributions by numerous state, provincial and federal agencies, and numerous academic institutions and nongovernmental organizations (NGOs). It is authored by over 100 experts in fisheries sampling from across Canada, Mexico, and the United States. Most techniques for water body types addressed in the first edition have been kept the same-in the interest of standardization over time; however, many important additions have been made.
Like the first edition, these methods are designed for fish community assessments in North American aquatic systems (e.g., for this edition, lakes, ponds, rivers, and streams containing warmwater and coldwater species; the Great Lakes, wetlands, and cenotes). Although other methods may be available that better target a more specific size-group or species, these techniques were selected as most effective for general surveys of these systems and typically are the most effective for capturing the common fishes found in these waters.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch1","usgsCitation":"Bonar, S.A., Conroy, J.D., Contreras-Balderas, S., and Iles, A.C., 2024, An introduction to standardized sampling, chap. 1 of Standard methods for sampling North American freshwater fishes, p. 1-22, https://doi.org/10.47886/9781934874769.ch1.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-152853","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conroy, Joseph D.","contributorId":145527,"corporation":false,"usgs":false,"family":"Conroy","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":958865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Contreras-Balderas, Salvador","contributorId":35956,"corporation":false,"usgs":true,"family":"Contreras-Balderas","given":"Salvador","email":"","affiliations":[],"preferred":false,"id":958866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iles, Alison C.","contributorId":369326,"corporation":false,"usgs":false,"family":"Iles","given":"Alison","middleInitial":"C.","affiliations":[],"preferred":false,"id":958867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260412,"text":"sim3527 - 2024 - Geomorphic map of the Umatilla River corridor, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T20:27:56.574752","indexId":"sim3527","displayToPublicDate":"2024-11-01T10:05:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3527","title":"Geomorphic map of the Umatilla River corridor, Oregon","docAbstract":"This map portrays the distribution of landforms along the Umatilla River in northeastern Oregon and covers a corridor 127 kilometers long from the confluence of the Umatilla River with the Columbia River upstream to Meacham Creek. The map encompasses the valley bottom and extends about 1 kilometer up the adjoining hillslopes. Map data are intended to support water quality and fisheries enhancement efforts pursuant to the First Foods, a resource-management approach that focuses on traditionally gathered foods including water, fish, big game, roots, and berries and calls attention to the reciprocity between people and the foods upon which humans depend.
The Umatilla River drains about 6,300 square kilometers on the northwest slope of the Blue Mountains in northeast Oregon. Most of the drainage basin is underlain by Miocene basalt flows of the Columbia River Basalt Group. Younger, weakly lithified, late Miocene and early Pliocene gravel deposits of local origin (for example, McKay Formation) are mapped in a few places. Upland surfaces are mantled with windborne silt (loess) correlative with deposits elsewhere known as the Palouse Formation. Surfaces below an elevation of about 340 meters were inundated repeatedly by large Pleistocene glacial outburst floods, most emanating from glacial Lake Missoula in western Montana. In backflooded areas such as the lower Umatilla River valley, Missoula floods deposited extensive slack-water silt.
Areas mapped as open water, active channel and tie channel, flood basin, valley bottom, and modified land constitute the geomorphic floodplain: the area subject to occasional inundation by the Umatilla River. Deposits and landforms within the floodplain are inset into Missoula flood deposits and hence postdate the 20–15-kilo-annum Missoula floods. Some floodplain deposits are no more than a few centuries old, as indicated by substantial erosion and deposition during the Umatilla River flood of February 2020, the largest since systematic measurements began in October 1903. Deposits and landforms of the floodplain are transient features within the longer-term incision of the Umatilla River into mid-Miocene flood basalts and younger gravel of the McKay Formation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3527","collaboration":"Prepared in cooperation with the Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Yuh, I.P., Haugerud, R.A., O'Connor, J.E., and O'Daniel, S.J., 2024, Geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey Scientific Investigation Map 3527, scale 1:12,000, 6 sheets, https://doi.org/10.3133/sim3527.","productDescription":"6 Sheets: 60.00 x 22.00 inches or smaller; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-158910","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497889,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117653.htm","linkFileType":{"id":5,"text":"html"}},{"id":463503,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13OOE7Q","description":"Yuh, I.P., Haugerud, R.A., O’Connor, J.E., and O’Daniel, S.J., 2024, Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P13OOE7Q.","linkHelpText":"Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon"},{"id":463502,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet06.pdf","text":"Sheet 6","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463501,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet05.pdf","text":"Sheet 5","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463500,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet04.pdf","text":"Sheet 4","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463499,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet03.pdf","text":"Sheet 3","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463498,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet02.pdf","text":"Sheet 2","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463497,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet01.pdf","text":"Sheet 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3527/covrthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla River corridor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.33321833933547,\n 45.68071824192785\n ],\n [\n -118.3561230993523,\n 45.730645505488894\n ],\n [\n -118.68247351832258,\n 45.7153349524672\n ],\n [\n -118.92979975453633,\n 45.69914300966221\n ],\n [\n -119.0766497072885,\n 45.72208021102742\n ],\n [\n -119.23122860492205,\n 45.82720081569687\n ],\n [\n -119.31238252617953,\n 45.9495910938214\n ],\n [\n -119.37228184901241,\n 45.932123278858995\n ],\n [\n -119.33556936082459,\n 45.81912165021458\n ],\n [\n -119.34329830570641,\n 45.7652305840443\n ],\n [\n -119.05732734508436,\n 45.64513599220672\n ],\n [\n -118.76555967580092,\n 45.630274925778025\n ],\n [\n -118.33238843274466,\n 45.66767113997548\n ],\n [\n -118.33321833933547,\n 45.68071824192785\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
350 N. Akron Rd.
Moffett Field, CA 94035
Karst hydrogeologic systems represent challenging and unique conditions to scientists studying groundwater flow and contaminant transport. Karst terrains are characterized by distinct and beautiful landscapes, caverns, and springs, and many of the exceptional karst areas are designated as national or state parks. The range and complexity of landforms and groundwater flow systems associated with karst terrains are enormous, perhaps more than any other aquifer type. The U.S. Geological Survey (USGS) Karst Interest Group (KIG), formed in 2000, is a loosely knit, grassroots organization of USGS and non-USGS scientists and researchers devoted to fostering better communication among scientists working on, or interested in, karst aquifers. The primary mission of the KIG is to encourage and support interdisciplinary collaboration and technology transfer among scientists working in karst areas. To accomplish its mission, the KIG has organized a series of workshops. To date (2024), nine KIG workshops, including the workshop documented in this report, have been held. The abstracts and extended abstracts provide a snapshot in time of past and current karst related studies. The USGS Water Availability and Use Science Program funded the workshop and proceedings. The planning committee for the ninth workshop includes Thomas D. Byl (USGS and Tennessee State University), Allan K. Clark (USGS), Laura M. DeMott (USGS), Eve L. Kuniansky (USGS, Emeritus), Benjamin V. Miller (USGS), and Lawrence E. Spangler (USGS, Emeritus). The workshop proceedings are edited by Eve L. Kuniansky and Lawrence E. Spangler. The field trip guide was produced by Benjamin V. Miller and Brian Ham (Tennessee Department of Environment and Conservation) and included in the proceedings from the KIG’s 2021 virtual workshop to be used on the optional field trip held on Thursday, October 24, 2024.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241067","usgsCitation":"Kuniansky, E.L., and Spangler, L.E., eds., 2024, U.S. Geological Survey Karst Interest Group proceedings, Nashville, Tennessee, October 22-24, 2024: U.S. Geological Survey Open-File Report 2024-1067, 109 p., https://doi.org/10.3133/ofr20241067.","productDescription":"iv, 109 p.","numberOfPages":"109","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148827","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":464512,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241067/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1067 HTML"},{"id":464367,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1067/images/"},{"id":464366,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1067/ofr20241067.XML","description":"OFR 2024-1067 XML"},{"id":462963,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205019","text":"Scientific Investigations Report 2020–5019","linkHelpText":"- U.S. Geological Survey Karst Interest Group Proceedings, October 19–20, 2021"},{"id":462958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1067/coverthb.jpg"},{"id":462959,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1067/ofr20241067.pdf","text":"Report","size":"5.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1067 PDF"},{"id":499031,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117750.htm","text":"Results of tracer testing at Pah Tempe Hot Springs, Hurricane, Utah","linkFileType":{"id":5,"text":"html"}},{"id":499030,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117749.htm","text":"Modern cave monitoring informs interpretations of past climate change: applications to Titan cave, Wyoming","linkFileType":{"id":5,"text":"html"}},{"id":499029,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117748.htm","text":"Geophysical characterization of glacially influenced, submature karst drainage features in western New York","linkFileType":{"id":5,"text":"html"}},{"id":499028,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117747.htm","text":"Planned alternative water supply technologies utilizing the karst aquifers of Texas","linkFileType":{"id":5,"text":"html"}},{"id":499027,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117746.htm","text":"A karst-rich impact crater: drill cores from the Flynn Creek crater, north-central Tennessee","linkFileType":{"id":5,"text":"html"}},{"id":499026,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117745.htm","text":"The geologic framework of karst in Monroe County, West Virginia: a tale of two systems","linkFileType":{"id":5,"text":"html"}},{"id":499025,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117744.htm","text":"A national model of sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States","linkFileType":{"id":5,"text":"html"}}],"contact":"Water Mission Area
U.S. Geological Survey
1770 Corporate Drive
Suite 500
Norcross, GA 30093
https://www.usgs.gov/mission-areas/
water-resources/science/karst-aquifers
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes, second edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Flammang, M., Shoup, D., Michaletz, P., and Pope, K.L., 2024, Warmwater fish in small standing waters, chap. 2 of Standard methods for sampling North American freshwater fishes, second edition, p. 23-44.","productDescription":"22 p.","startPage":"23","endPage":"44","ipdsId":"IP-131100","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flammang, M.K.","contributorId":341065,"corporation":false,"usgs":false,"family":"Flammang","given":"M.K.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, D.E.","contributorId":280137,"corporation":false,"usgs":false,"family":"Shoup","given":"D.E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michaletz, P.H.","contributorId":341066,"corporation":false,"usgs":false,"family":"Michaletz","given":"P.H.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":907878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256693,"text":"70256693 - 2024 - Warmwater fish in large standing waters","interactions":[],"lastModifiedDate":"2025-01-31T15:57:46.420073","indexId":"70256693","displayToPublicDate":"2024-11-01T09:55:05","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Warmwater fish in large standing waters","docAbstract":"No abstract available.
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Miranda, L.E., Bonvechio, K., Koch, J., and Moncayo-Estrada, R., 2024, Warmwater fish in large standing waters, p. 45-64.","productDescription":"20 p.","startPage":"45","endPage":"64","ipdsId":"IP-122991","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonvechio, K.I.","contributorId":341598,"corporation":false,"usgs":false,"family":"Bonvechio","given":"K.I.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":908675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, J.","contributorId":7065,"corporation":false,"usgs":false,"family":"Koch","given":"J.","affiliations":[],"preferred":false,"id":908676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moncayo-Estrada, R.","contributorId":243535,"corporation":false,"usgs":false,"family":"Moncayo-Estrada","given":"R.","email":"","affiliations":[{"id":48720,"text":"Instituto Politécnico Nacional-CICIMAR and COFAA","active":true,"usgs":false}],"preferred":false,"id":908677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274727,"text":"70274727 - 2024 - Indices for common North American fishes","interactions":[],"lastModifiedDate":"2026-04-08T15:01:12.860751","indexId":"70274727","displayToPublicDate":"2024-11-01T09:54:44","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Indices for common North American fishes","docAbstract":"One of the greatest advantages to the standardization of fisheries sampling methods is the comparable data they produce (Bonar et al. 2017). Following American Fisheries Society (AFS) standardized sampling methods, fisheries professionals can more easily compare their data with standardized data collected across North America to address both small- and large-scale fisheries questions. For example, access to standardized data can allow fisheries managers to evaluate if a fish species is within an expected range for weight or length in a particular water body, providing them with valuable information about the baseline health of their fish population. Additionally, given that fish can take years to respond to certain management actions (Meals et al. 2010), access to standardized data over time can be used to assess the effectiveness of these actions. Finally, standardized fisheries data can be analyzed over large geographic regions and provide increased sample sizes to evaluate management actions that cross local or state borders, such as habitat improvements or regulations, as well as the effects of large-scale transformations such as climate change on fish growth or body condition. Ultimately, the use of standardized data enhances the ability of fisheries professionals to address both small- and large-scale threats currently facing freshwater ecosystems and the fishes they support.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch20","usgsCitation":"Tracy, E.E., Brouder, M.J., Iles, A.C., Teal, C.N., and Bonar, S.A., 2024, Indices for common North American fishes, chap. 20 of Standard methods for sampling North American freshwater fishes, p. 441-786, https://doi.org/10.47886/9781934874769.ch20.","productDescription":"346 p.","startPage":"441","endPage":"786","ipdsId":"IP-157649","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tracy, Erin E.","contributorId":369324,"corporation":false,"usgs":false,"family":"Tracy","given":"Erin","middleInitial":"E.","affiliations":[],"preferred":false,"id":958868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brouder, Mark J.","contributorId":369325,"corporation":false,"usgs":false,"family":"Brouder","given":"Mark","middleInitial":"J.","affiliations":[],"preferred":false,"id":958869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iles, Alison C.","contributorId":369326,"corporation":false,"usgs":false,"family":"Iles","given":"Alison","middleInitial":"C.","affiliations":[],"preferred":false,"id":958870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teal, Chad N.","contributorId":337952,"corporation":false,"usgs":false,"family":"Teal","given":"Chad","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}